Climate Seminar Series: Ocean and Climate Change
2023-10-12 12:00 - 13:00 (America/New_York)
Event: NOAA EPP/MSI CSC Climate Change Seminar Series
Title: Ocean and Climate Change
Presenter: Gabby Kitch and Rik Wanninkhof, NOAA Research (Hosted by FAMU)
Date: October 12, 2023
Time: 12:00pm-1:00 PM
Register: Click here to register
After registering, you will receive a confirmation email with details to join the event
About the Seminar Series.
Join NOAA’s EPP/MSI Cooperative Science Centers for this lecture series featuring scientists from NOAA Fisheries and NOAA Research. These monthly seminars will be hosted by the lead institution, virtually or hybrid throughout the 2023-2024 academic year. For more information, please visit, https://research.noaa.gov/noaa-csc/

NOAA Seminar Series: Design of a Low SWaP Dual-Band Radiometer for UAS Remote Sensing Applications
2023-10-24 13:00 - 13:30
Title: Design of a Low SWaP Dual-Band Radiometer for UAS Remote Sensing Applications
Speaker: Maria Novoa Garcia, NOAA EPP/MSI CESSRST-II Fellow at UPRM
Date: Ocotber 24, 20223
Time: 1:00 PM ET
Venue: Virtual
Meeting Link : meet.google.com/spo-vxqc-nmb
Phone Number
(‪US‬)‪+1 219-321-0478‬
PIN: ‪651 945 406#‬
Learn more about the speaker
Abstract:
Design of a Low SWaP Dual-Band Radiometer for UAS Remote Sensing Applications Sea Surface Salinity (SSS) is crucial in oceanographic, coastal, atmospheric, and other applications. Knowing this variable well allows the scientific community to understand and monitor the behavior of both the ocean and the atmosphere. This way, the government and other stakeholders can make better decisions to protect life and property based on analysis and conclusions by NOAA scientists. During my NOAA Experiential Research and Training Opportunities (NERTO), our research focused on studying further which variables significantly impact the measurement of sea surface salinity from passive microwave radiometers. These variables are the Sea Surface Temperature, Earth Incidence Angle, Wind Speed, and Direction. We concentrated on the sensitivity of the retrieved SSS to each variable mentioned by calculating the brightness temperature (TB). The calculations are from the study of Meissner et al. and the theses of Wah and Mera. A function was designed on MATLAB and showed that brightness temperature is more sensitive to Sea Surface Temperature and Wind Speed. The highest error in SSS is 1.0183 PSU, meaning that this parameter impacts most the brightness temperature and the retrieved sea surface salinity. I will also discuss furthers steps of this research which will implement this function in the analysis of retrieving SSS for the new novel airborne sensor..

NOAA Seminar Series: Inter-comparison and Validation of Remote Sensing Satellite based Soil Moisture.
2023-10-24 13:30 - 14:00
Title: Inter-comparison and Validation of Remote Sensing Satellite based Soil Moisture.
Speaker: Stephanie Marquez, NOAA EPP/MSI CESSRST-II Fellow at UTEP
Date: Ocotber 24, 20223
Time: 1:30 PM ET
Venue: Virtual
Meeting Link : meet.google.com/spo-vxqc-nmb
Phone Number
(‪US‬)‪+1 219-321-0478‬
PIN: ‪651 945 406#‬
Learn more about the speaker
Abstract:
Inter-comparison and Validation of Remote Sensing Satellite based Soil Moisture.: This study explores the potential of using a random forest, gradient boosting and support vector machine model to predict soil moisture levels by incorporating both meteorological and biogeophysical data. The study utilized meteorological data such as temperature, albedo, and precipitation, and biogeophysical data including soil type, land cover, slope, elevation, and normalized differenced vegetation index (NDVI) from remote sensing sources. Additionally, in-situ soil moisture measurements from a Campbell Scientific Hydrosense II-12 sensor were incorporated as input parameters to train and test the model. The dataset was collected from a soil moisture sensor network installed in Jornada Experimental Range, New Mexico during the summer of 2022. The results indicate that the gradient boosting model accurately predicts soil moisture levels, with an NSE score of 0.62, demonstrating the importance of combining remote sensing data with ground-based observations. This study showcases the potential of machine learning algorithms, particularly random forest models, to accurately predict future soil moisture levels, which could enhance the accuracy of satellite data and weather predictions.

Climate Seminar Series: Impacts of Climate Change on Earth Systems
2023-11-09 12:00 - 13:00
Climate Change (Nov 9) Seminar – Flyer
Climate Series 2023 – Flyer
Event: NOAA EPP/MSI CSC Climate Change Seminar Series
Title: Impacts of Climate Change on Earth Systems
Presenter: NOAA’s Geophysical Fluid Dynamics Lab (GFDL)
The seminar will feature scientists from the Geophysical Fluid Dynamics Lab (GFDL), who will speak on the Impacts of Climate Change on Earth Systems.
Presentations include:

Climate Change and the Hydrologic Cycle – Ram Ramaswamy (GFDL Director)
Air Pollution and Climate Change Connections – Vaishali Naik
Atlantic Hurricanes and Climate Change – Tom Knutson
Regional Patterns and Drivers of Seal Level Rise – Jacob Steinberg

Date: November 9, 2023
Time: 12:15pm-1:45 PM
Register: Click here to register
After registering, you will receive a confirmation email with details to join the event
About the Seminar Series.
Join NOAA’s EPP/MSI Cooperative Science Centers for this lecture series featuring scientists from NOAA Fisheries and NOAA Research. These monthly seminars will be hosted by the lead institution, virtually or hybrid throughout the 2023-2024 academic year. For more information, please visit, https://research.noaa.gov/noaa-csc/

Climate Seminar Series: Tropical Cyclones and Climate Change
2023-12-07 12:00 - 13:00
Event: NOAA EPP/MSI CSC Climate Change Seminar Series
Title: Tropical Cyclones and Climate Change
Presenter: Frank Marks, (Hosted by Howard University)
Date: December 7, 2023
Time: 12:00pm-1:00 PM
Register: Click here to register
After registering, you will receive a confirmation email with details to join the event
About the Seminar Series.
Join NOAA’s EPP/MSI Cooperative Science Centers for this lecture series featuring scientists from NOAA Fisheries and NOAA Research. These monthly seminars will be hosted by the lead institution, virtually or hybrid throughout the 2023-2024 academic year. For more information, please visit, https://research.noaa.gov/noaa-csc/

Climate Seminar Series: Climate, Ecosystems and Fisheries Management
2024-01-18 12:00 - 13:00
Event: NOAA EPP/MSI CSC Climate Change Seminar Series
Title: Climate, Ecosystems and Fisheries Management
Presenter: Roger Griffis, NOAA Fisheries (Hosted by FAMU)
Date: January 18, 2024
Time: 12:00pm-1:00 PM
Register: Click here to register
After registering, you will receive a confirmation email with details to join the event
About the Seminar Series.
Join NOAA’s EPP/MSI Cooperative Science Centers for this lecture series featuring scientists from NOAA Fisheries and NOAA Research. These monthly seminars will be hosted by the lead institution, virtually or hybrid throughout the 2023-2024 academic year. For more information, please visit, https://research.noaa.gov/noaa-csc/

Climate Seminar Series: Translating Climate Science into Physical and Economic Risk
2024-02-08 12:00 - 13:00
Event: NOAA EPP/MSI CSC Climate Change Seminar Series
Title: Translating Climate Science into Physical and Economic Risk
Presenter: with Ben DeAngelo, NOAA Research (Hosted by Howard University)
Date: February 8, 2024
Time: 12:00pm-1:00 PM
Register: Click here to register
After registering, you will receive a confirmation email with details to join the event
About the Seminar Series.
Join NOAA’s EPP/MSI Cooperative Science Centers for this lecture series featuring scientists from NOAA Fisheries and NOAA Research. These monthly seminars will be hosted by the lead institution, virtually or hybrid throughout the 2023-2024 academic year. For more information, please visit, https://research.noaa.gov/noaa-csc/

NOAA Seminar Series: Internship Opportunity in Hydrometeorology Field Campaign
2024-02-22 13:00 - 13:30
Title: Internship Opportunity in Hydrometeorology Field Campaign
Speaker: Jake Longenecker, NOAA EPP/MSI CESSRST-II Fellow at CUNY
Date: February 22, 2024
Time: 1:00 PM ET
Venue: Virtual
Meeting Link : https://meet.google.com/ioi-iwdk-rzc
Phone Number
(‪US‬)‪+1 516-226-0191‬
PIN: ‪453 865 403#‬
Learn more about the speaker
Abstract:
As part of the NOAA Study of Precipitation, the Lower Atmosphere and Surface for Hydrometeorology (SPLASH) campaign, multiple unmanned aircraft systems (UAS) were deployed to the East River Watershed in the area surrounding Gothic, CO. This work focuses on co-located ground-based measurements to improve the sensing of these aircraft, determine the efficacy of the UAS datasets, and improve future collection efficiency. To achieve these goals an optimal sampling frequency must be determined, ground-based measurements must be contemporaneously collected, cleaned, and compared against the UAS data, and remotely sensed satellite data must be analyzed. Preliminary analysis has given rise to speculation about UAS dataset accuracy but has also informed a way forward to improve the UAS systems. Working directly with the UAS flight and optics teams we intend to improve their systems by the end of the SPLASH campaign with the goal to have these instruments flight ready for all future NOAA missions.

NOAA Seminar Series: Remote Sensing of Colored Dissolved Organic Matter (CDOM) in Coastal Water
2024-02-22 13:35 - 14:05
Title: Remote Sensing of Colored Dissolved Organic Matter (CDOM) in Coastal Water
Presenter(s): Alana Menendez, CESSRST-II
Date: Thursday, February 22 · 1:35 – 2:05 pm EST
Google Meet joining info
Video call link: https://meet.google.com/amx-djda-bdb
Or dial: ‪(US) +1 434-886-0106‬ PIN: ‪754 062 498‬#
More phone numbers: https://tel.meet/amx-djda-bdb?pin=7736783692268
Learn about Speaker : Alana Menendez
Abstract: Long Island Sound (LIS) estuary is dynamic in space and time, with biogeochemical transformations occurring from anthropogenic, river, and marine sources, with tidal, seasonal, and interannual variability. Colored dissolved organic matter (CDOM) is both a tracer of these processes, and an integral component that impacts carbon cycling, nutrient cycling, hypoxia, light penetration, and water color. This research represents the first analysis evaluating atmospheric correction techniques for Landsat-8 in LIS based on an extensive dataset of above-water radiometry in and around LIS waters. Secondly, using a robust dataset of CDOM absorption from in situ water samples collected in LIS, algorithms for retrieving this parameter fromLandsat-8 remote sensing reflectance are evaluated. This research provides preliminary results and a framework for continued analysis on the use of high spatial resolution ocean color satellite sensors in LIS for retrieving CDOM, and ultimately dissolved organic carbon (DOC). This will allow for monitoring CDOM and DOC across the river-estuary interfaces of LIS dating back to 2013(launch of Landsat-8), which will contribute to a better understanding of the controls on LIS carbon cycling and water quality.

NOAA Seminar Series: Federal Climate Research Network Regional Boundaries
2024-02-23 13:00 - 13:30
Title: Federal Climate Research Network Regional Boundaries: Not Where, but Why?
Presenter(s): Zachary Paganini, CESSRST II
Date : Friday, February 23 · 1:00 – 1:30 pm EST
Google Meet joining info
Video call link: https://meet.google.com/oxm-yhpz-doh
Or dial: ‪(US) +1 321-209-6385‬ PIN: ‪772 993 275‬#
More phone numbers: https://tel.meet/oxm-yhpz-doh?pin=4150785920930
Learn about Speaker: Zachary Paganini,
Abstract:
The project responds to inquiries from U.S. Global Change Research Program (USGCRP)stakeholders and funders for an explanation of the origins of, functions of, and reasons for differences in the regional boundaries of different federal climate research networks. This research explores six federal climate research networks through mapping analysis, document and literature review, and interviews with program managers and directors at federal climate research networks to explain why these differences exist and what functions they serve. The research revealed that while federal climate research networks share a common goal of delivering accurate and actionable climate data to stakeholders across multiple scales, differences in where networks draw their capacity from and what specific sectors networks focus on delivering information to not only explain but necessitate differences in federal climate research networks’ regional boundaries.

NOAA Seminar Series: Detection of seal pups and polar bears in multispectral imagery
2024-02-23 13:35 - 14:05 | City College of New York, 160 Convent Avenue, New York, 10031
Title: Detection of seal pups and polar bears in multispectral imagery
Presenter(s): Juanita Jimenez,
Date: Friday, February 23 · 1:35 – 2:05 pm EST
Google Meet joining info
Video call link: https://meet.google.com/ejj-kthh-sje
Or dial: ‪(US) +1 914-893-5689‬ PIN: ‪679 479 638‬#
More phone numbers: https://tel.meet/ejj-kthh-sje?pin=5439818462517
About Speaker: Juanita Jimenez
Abstract: The Polar Ecosystems Program at the Alaska Fisheries Science Center’s Marine Mammal Laboratory is responsible for estimating the abundance and distribution of ice-associated seals of Alaska. They conducted large-scale fixed-wing surveys of the sea ice in the Bering, Chukchi, and Beaufort seas in a collaborative effort with the US Fish and Wildlife Service to include polar bears in this effort, and international researchers to accurately assess transboundary population estimates. These surveys result in the collection of hundreds of thousands of aerial images of the sea ice from airborne color (RGB), thermal infrared (IR), and ultraviolet (UV) cameras. Machine learning models can be used to identify ringed seals, bearded seals, and polar bears in the imagery. The objective of this NOAA Experiential Research and Training Opportunity, NERTO was to utilize the annotated UV, IR, and color imagery to develop a detection model to find polar bears and white coat seal pups in multispectral imagery. During the summer, we started the development of a processing workflow, first using ENVI and then with MATLAB to process these images. The approach being pursued looks at building a five band multispectral data cube by first registering the images and stacking them into a three-dimensional array. Once the images are aligned, animal signatures can be used to detect the presence of mammals in the scene. The goal of the NERTO, was to identify the workflow that NOAA needs to extract spectral signatures using the UV, IR, and color images. The final goal is to build a model to find the animals in the sea ice by processing these cubes. Follow up work will be pursued as part of my master’s project at UTEP.

Climate Seminar Series: Modernizing NOAA's Extreme Precipitation Products for High Hazard Infrastructure
2024-03-14 12:00 - 13:00
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Event: NOAA EPP/MSI CSC Climate Change Seminar Series
Title: MODERNIZING NOAA’S EXTREME PRECIPITATION PRODUCTS FOR HIGH-HAZARD INFRASTRUCTURE
Presenter: Kelly Mahoney, NOAA Research (Hosted by City College of New York)
Date: March 14, 2024
Time: 12:00pm-1:00 PM
Register: Click here to register
After registering, you will receive a confirmation email with details to join the event
About the Seminar Series.
Join NOAA’s EPP/MSI Cooperative Science Centers for this lecture series featuring scientists from NOAA Fisheries and NOAA Research. These monthly seminars will be hosted by the lead institution, virtually or hybrid throughout the 2023-2024 academic year. For more information, please visit, https://research.noaa.gov/noaa-csc/

Climate Seminar Series: Climate Change Impacts on Bering Sea Fisheries
2024-04-11 12:00 - 13:00
Event: NOAA EPP/MSI CSC Climate Change Seminar Series
Title: Climate Change Impacts on Bering Sea Fisheries
Presenter: with Kirstin Holsman, NOAA Fisheries (Hosted by University of Maryland, Eastern Shore)
Date: April 11, 2024
Time: 12:00pm-1:00 PM
Register: Click here to register
After registering, you will receive a confirmation email with details to join the event
About the Seminar Series.
Join NOAA’s EPP/MSI Cooperative Science Centers for this lecture series featuring scientists from NOAA Fisheries and NOAA Research. These monthly seminars will be hosted by the lead institution, virtually or hybrid throughout the 2023-2024 academic year. For more information, please visit, https://research.noaa.gov/noaa-csc/

NOAA Seminar Series: Micro-climate Monitoring, Crop Impacts, and Preparedness for Southern CA Viticulture
2024-05-09 13:30 - 14:30 | City College of New York, 160 Convent Avenue, New York, 10031
Title: Micro-climate Monitoring, Crop Impacts, and Preparedness for Southern CA Viticulture
Presenter(s): Alessandra Zuniga
Date: Thursday, May 9 , 2024 from 1:30 – 2:15 pm
Google Meet joining info
Video call link: https://meet.google.com/mdr-yckd-znv
Or dial: ‪(US) +1 408-909-8773 PIN: ‪659 505 717##
More phone numbers: https://tel.meet/mdr-yckd-znv?pin=7798352384570
About Speaker: Alessandra Zuniga
Abstract:
Southern California is currently experiencing rapid changes in climate patterns and more extreme weather events with important implications for the agricultural industry. Current trends and climate models indicate that temperatures in this region will continue to rise in the next century, along with more intense and frequent drought events. The impacts of these changes on crop physiology and production remain ambiguous, which makes this region highly vulnerable to climate change. Moreover, very little is known about how growers are responding to these climate challenges and whether they have the necessary resources and support to adapt accordingly. This project was developed to better understand and predict climate impacts to vineyard production systems in the San Diego region. The first objective of this project was to better understand the physiological response of grapevines to micro-climate and soil water availability and how this varies across different grapevine varieties of the same species (Vitis vinifera L.). This project was conducted at an experimental vineyard located in the Santa Margarita Ecological Reserve in Fallbrook, CA. The second objective of this research was to use a social science approach to better understand the impacts and challenges of climate change on the winegrowing community in the San Diego region. These findings help to draw awareness of potential impacts on the grape/wine sector, which may incentivize informed policy and practices.
The results are from the NOAA EPP/MSI CSC NERTO graduate internship project that was conducted with NOAA mentor Alexander Tardy of the National Weather Service. The NERTO aligns with the NOAA CESSRST-II program’s goals of supporting and strengthening societal decision-making in response to weather and climate extremes. This project has also deepened the intern’s understanding of NOAA weather monitoring by integrating weather data, crop transpiration predictions, and grower risk perception to address information needs and adaptive capacity building of the agricultural sector.

NOAA Seminar Series: The Path to Justice40: Indicators and Metrics for Assessing and Engaging Frontline Communities
2024-07-25 14:00 - 14:30
Title: The Path to Justice40: Indicators and Metrics for Assessing and Engaging Frontline Communities

Presenter(s): Gwendolyn Damestoit
Date: Thursday, July 25, 2024 at 2:00 pm – 2:30 pm ET

Meeting link : https://register.gotowebinar.com/register/8902629542552066646
About Speaker: Gwendolyn Damestoit
Abstract:
This research, conducted under the mentorship of NOAA/NERTO mentors Dr. Ariela Zycherman, Dr. Chelsea Combest-Friedman, and CESSRST Advisor Dr. Fernando Tormos-Aponte, aimed to investigate the decision-making processes within the Regional Integrated Sciences and Assessments Program (RISA) teams concerning community engagement, with a specific focus on frontline communities. The objective was to comprehend how RISA projects are scoped, benefits are identified, and community partnerships are established. The study was particularly relevant in the context of supporting federal agencies’ response to the Justice40 Initiative (EO14008, Sec223), which seeks to ensure that 40% of the benefits from federal investments in climate change are directed towards “disadvantaged” communities. Under this initiative, federal agencies are required to define and geographically identify the communities meeting the criteria of “disadvantaged” to receive funding. The primary task involves identifying the diverse metrics and considerations employed by RISA teams in determining their project locations and community collaborators. This was achieved through informal interviews with principal investigators and program managers within RISA teams. Qualitative analysis techniques were utilized to discern common metrics across the network and region-specific indicators. Furthermore, the research compares these metrics with existing environmental justice and social vulnerability tools to develop a framework for identifying beneficiary communities in alignment with the Justice40 initiative. The outcomes of this study contribute to enhancing the effectiveness of the RISA program in addressing climate and social justice concerns while aligning with broader equity priorities of the administration.

NOAA Seminar Series: Implementation and Sustainability of the UNESCO/IOC Tsunami Ready Program
2024-07-25 14:30 - 15:00
Title: Implementation and Sustainability of the UNESCO/IOC Tsunami Ready Program

Presenter(s):Wendy Prudencio
Date: Thursday, July 25, 2024 at 2:30 pm – 3:00 pm ET

Google Meet joining info
Google Meet joining info
Video call link: meet.google.com/mfn-yhxq-nxf
Or dial: ‪(US)+1 307-364-0663 PIN: ‪797 007 689#
More phone numbers: https://tel.meet/mfn-yhxq-nxf?pin=8888412615303&hs=1

About Speaker: Wendy Prudencio
Abstract:
Tsunamis are natural hazards that are caused by other hazards, such as earthquakes, volcanic eruptions, submarine landslides, and meteorites. Tsunamis can be life-threatening, and therefore, mitigation and preparedness for these events are necessary. In 2001, the National Weather Service (NWS) of the National Oceanic and Atmospheric Administration (NOAA) established the Tsunami Ready Program in coordination with the National Tsunami Hazard Mitigation Program (NTHMP) to assist coastal communities throughout the United States (Bernard, 2005). The Tsunami Ready Program promotes mitigation, awareness, preparedness, and response to tsunamis through community-based efforts. This program has paved the way for the International Tsunami Information Center to support the piloting, establishment, and ongoing implementation of the UNESCO Intergovernmental Oceanographic Commission Tsunami Ready Recognition Programme. Implementation and sustainability of the Tsunami Ready Program are crucial to coastal communities in order to improve resiliency and reduce the impact on life, property, and livelihoods.
The results are from the NOAA EPP/MSI CSC NERTO graduate internship project that was conducted with NOAA mentor Dr. Christa G. von Hillebrandt-Andrade of the International Tsunami Information Center Caribbean Office of NWS. The NERTO aligns with the NOAA CSC Center for Earth System Sciences and Remote Sensing Technologies II (CESSRST II) goal to Conduct NOAA mission-aligned collaborative research. The NERTO Implementation and Sustainability of the UNESCO/IOC Tsunami Ready Program also deepened the intern’s understanding of NOAA’s tsunami hazard mitigation strategies, which enhanced their capacity to support coastal community preparedness and resilience initiatives effectively

NOAA Seminar Series: Carbon Sequestration and Storage in Puerto Rico Mangroves
2024-08-28 11:00 - 12:00
Title: Carbon Sequestration and Storage in Puerto Rico Mangroves
Presenter(s): Jahnelle Howe
Date: Wednesday , August 28 2024 from 11:00 – 12:00 pm
Webinar Link : https://register.gotowebinar.com/register/6094444959284406880
About Speaker: Jahnelle Howe
Abstract:
Mangroves are coastal forests that persist in the ocean-land continuum and provide critical habitats for fish and wildlife. They contribute to coastal resiliency by acting as natural barriers to storm surges and preventing erosion, flooding, and disasters. Mangrove ecosystems contribute to global carbon cycles by acting as a sink of atmospheric CO2, thereby having the potential to mitigate climate change. Blue carbon refers to the carbon sequestered in litter and soil in coastal ecosystems and the oceans, having a particularly high rate of carbon storage. However, due to anthropogenic and natural hazards and climate change, the loss of mangroves poses a risk of releasing sequestered carbon stored deep within the soil into the atmosphere once exposed. This work is particularly important for Puerto Rico as mangroves are essential for coastal protection from storms (wave action, erosion, lessening impacts to communities) and critical for economically significant artisan fishers. This study focuses on two mangroves in Puerto Rico, La Parguera and Laguna Grande, for blue carbon quantification and assessing whether extreme events, including hurricanes and environmental factors such as temperature and precipitation, impact these ecosystems and their capacity to sequester blue carbon. Furthermore, this study also reviews the socio-economic conditions influencing blue economy building and blue carbon sequestration related to coastal communities’ dependency on values and services provided by these ecosystems in Puerto Rico.

Climate Seminar Series: Re-defining extreme precipitation in a changing climate
2024-09-12 12:00 - 13:00
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Event: NOAA EPP/MSI CSC Climate Change Seminar Series
Title: Re-defining extreme precipitation in a changing climate
Presenter: Kelly Mahoney, NOAA Research (Hosted by NCAS-M)
Date: September 12, 2024
Time: 12:00pm-1:00 PM
Register: Click here to register
After registering, you will receive a confirmation email with details to join the event
About the Seminar Series.
Join NOAA’s EPP/MSI Cooperative Science Centers for this lecture series featuring scientists from NOAA Fisheries and NOAA Research. These monthly seminars will be hosted by the lead institution, virtually or hybrid throughout the 2025-2025 academic year. For more information, please visit, https://research.noaa.gov/noaa-csc-24-25/

NOAA Seminar Series: Urban Study of Excessive Rainfall Rates
2024-10-10 11:00 - 12:00
Title: Urban Study of Excessive Rainfall Rates

Presenter(s): Melissa Crouch
Date: 10 October 2024 11:05 am – 11:35 am ET

Remote Access: Google Meet joining info
Video call link: https://meet.google.com/yat-nxrf-emf
Or dial: (US) +1 321-405-2803 PIN: 268 246397
#More phone numbers: https://tel.meet/yat-nxrf-emf?pin=4547124589737
About Speaker: Melissa Crouch
Abstract: Warming atmospheric temperatures have the potential to increase the moisture content, leading to enough intensified precipitation and storms to induce flash flooding. Urban areas experience the worst of these events due to a lack of infiltration that affects drainage systems. This project is an analysis of these rainfall events. The objectives were to (1) use MRMS/FLASH data to help better anticipate urban flood events through good lead time, (2) use the data to refine flash flood guidance values, and (3) develop thresholds for improved issuance of severity of flood impacts. Particular focus was on the remnants of Ida on September 1st and 2nd, 2021, and the September 29th event of 2023. Multi-Radar Multi-Sensor (MRMS) data were matched with local storm reports (LSRs) to statistically summarize the patterns of precipitation and surface runoff estimates within New York City. Flash flood guidance (FFG) was used to interpret the results of the analysis, which concludes that, for all events, the quantitative precipitation estimate (QPE) does not exceed FFG thresholds. The surface runoff simulations illustrate the exceedance of thresholds, posing the risk of flash flooding to occur. The work also helps in serving the needs of both meteorologists and hydrologists to improve lead time and calibrate thresholds for improved issuance of severity of flood impacts. The results are from the NOAA EPP/MSI CSC NERTO graduate internship project that was conducted with NOAA mentor Dr. David Radell, Science Operations Officer at the National Weather Service at Upton, NY. The NERTO aligns with NOAA CSC CESSRST-II’s goal to understand and predict changes in Earth’s environment. This Urban Study of Excessive Rainfall Rates also deepened the intern’s understanding of how urban landscapes (like NYC) influence flash flooding behavior and the importance of how these models help the public in making informed decisions on how to prepare for these kinds of events.

Climate Seminar Series: Advancing NOAA's climate Modeling and its application to Marine Ecosystem
2024-10-10 12:00 - 13:00
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Event: NOAA EPP/MSI CSC Climate Change Seminar Series
Title: ADVANCING NOAA’S CLIMATE MODELING AND ITS APPLICATION TO MARINE ECOSYSTEM MANAGEMENT, CLIMATE PROJECTIONS, AND SERVICE PROVISION
Presenter: Dan Barrie, OAR Climate Program Office (Hosted by CCME)
Date: October 10, 2024
Time: 12:00pm-1:00 PM
Register: Click here to register
After registering, you will receive a confirmation email with details to join the event
About the Seminar Series.
Join NOAA’s EPP/MSI Cooperative Science Centers for this lecture series featuring scientists from NOAA Fisheries and NOAA Research. These monthly seminars will be hosted by the lead institution, virtually or hybrid throughout the 2025-2025 academic year. For more information, please visit, https://research.noaa.gov/noaa-csc-24-25/

NOAA Seminar Series: Spatiotemporal variability of heat stress in the Imperial Valley using remote sensing and weather station data
2024-10-10 13:00 - 13:30
Title: Spatiotemporal variability of heat stress in the Imperial Valley using remote sensing and weather station data

Presenter(s): Stephanie Hurtado-Gonzalez
Date: 10 October 2024 1:05 pm – 1:35 pm ET

Remote Access: Google Meet joining info
Video call link: https://meet.google.com/jug-fjxk-hhc
Or dial: (US) +1 1 636-400-7284 PIN: 741054 399
#More phone numbers: https://tel.meet/jug-fjxk-hhc?pin=4161286056192
About Speaker: Stephanie Hurtado-Gonzalez
Abstract: Extreme heat is a persistent environmental and public health issue impacting all populations. Current research has vastly explored the impacts of heat stress on urban environments and the Urban Heat Island effect. Yet, more efforts are needed to study the impacts on agricultural lands and farmworkers. The Imperial Valley, CA is no exception to this as it has a desert climate, while also being one of the largest producers of winter vegetable crops. This study is focused on utilizing remote-sensed Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI) from Landsat 8, in combination with weather station data, to evaluate and predict Wet-Bulb Globe Temperature (WBGT). As well as, exploring the components of WBGT. Monitoring heat stress through high-resolution remote sensing can address sub-field processes that are challenging to other systems such as MODIS and regional climate models with coarser spatial resolution. Results show that WBGT can be predicted from LST with a root mean square error of 5 F and that wet-bulb temperature (NWB) is the greatest predictor for WBGT. Future work will connect LST and WBGT data with physiological stress measurements, public health records, and interview responses from farmworkers. This research supports NOAA’s mission to understand and predict climate and weather changes by enhancing knowledge of climate change, weather patterns, and heat stress impacts. As well as the National Weather Service’s mission to protect lives and issue appropriately timely alerts to the public and emergency community. Research Questions:

How has WBGT changed over the study period? Are there any variations between weather stations?
What is the relationship between remotely sensed Land Surface Temperature (LST) and Wet Bulb Globe Temperature (WBGT)?
Which variable within the WBGT equation plays the most significant role in determining WBGT?

The results are from the NOAA EPP/MSI CSC NERTO graduate internship project that was conducted with NOAA mentor, Alexander Tardy of the National Weather Service office in San Diego, CA. The NERTO aligns with NOAA CSC CESSRST-II’s goal of to understand and predict changes in climate and weather. The NERTO project titled ‘Spatiotemporal Variability of Heat Stress in the Imperial Valley Using Remote Sensing and Weather Station Data‘ deepened the intern’s understanding of addressing societal problems through the integration of remote sensing technologies with multidisciplinary research in environmental systems, socioeconomic drivers, and solutions.

NOAA Seminar Series: Merged LEO-GEO Tropospheric Nitrogen Dioxide (tropNO2) Product for Air Quality Applications
2024-10-21 12:00 - 12:30
Title: Merged LEO-GEO Tropospheric Nitrogen Dioxide (tropNO2) Product for Air Quality Applications

Presenter(s): Thomas Ely
Date: 21 October 2024 12:05 pm – 12:35 pm ET

Remote Access: Google Meet joining info
Video call link: https://meet.google.com/yyu-ektc-gms
Or dial: (US) +1 402-803-1147 PIN: 602 419 188# More phone numbers:
https://tel.meet/yyu-ektc-gms?pin=2445253511123
About Speaker: Thomas Ely
Abstract: Air quality is a key societal issue and can be hard to predict in coastal cities such as New York City and Baltimore due to the effects of sea breeze. Air quality studies can benefit from more accurate retrievals of nitrogen dioxide (NO2) from geostationary satellite sensors that show the transport and spatial distribution of pollution throughout the day. The objective of this project is to implement and test a methodology that can improve the quality of geostationary (GEO) satellite NO2 data using low Earth orbit (LEO) satellite NO2 data. This methodology uses the Kalman Filter algorithm to merge the two datasets in a process similar to data assimilation, except that the background model field uses data from a GEO satellite sensor, which in this case is NASA’s Tropospheric Emissions: Monitoring of Pollution (TEMPO) satellite sensor. LEO data from Sentinel5-Precursor TROPOspheric Monitoring Instrument (Sentinel-5P TROPOMI) serves as observational information. The Kalman Filter adds TROPOMI measurements to the background, weighting each dataset based on their respective uncertainties, which can mitigate uncertainties in each of the original datasets, resulting in a more accurate tropospheric NO2 product that retains the high temporal resolution of TEMPO data. The merged TEMPO-TROPOMI product is compared against the Pandonia Global Network (PGN) ground-based tropospheric NO2 column retrievals to evaluate the performance of the merged product compared to the original products. This project demonstrated the feasibility of implementing the Kalman Filter for merging satellite datasets and generated a new tropospheric NO2 product that can be useful for local air-quality monitoring.The results are from the NOAA EPP/MSI CSC NERTO graduate internship project that was conducted with NOAA mentor Dr. Shobha Kondragunta of NOAA NESDIS. The NERTO aligns with NOAA CSC CESSRST-II’s goal to have students conduct NOAA mission-aligned research. The NERTO Merged LEO-GEO Tropospheric Nitrogen Dioxide Product also deepened the intern’s understanding of NOAA satellite product development and validation, as well as satellite sensor calibration.

NOAA Seminar Series: Implications of Tropospheric Mass Flux Reduction for the frequency and intensity of convective precipitation
2024-10-21 12:45 - 13:15
Title: Implications of Tropospheric Mass Flux Reduction for the frequency and intensity of convective precipitation

Presenter(s): Carlos Ordaz
Date: 21 October 2024 12:45 pm – 1:15 pm ET

Remote Access: Google Meet joining info
Video call link: https://meet.google.com/hje-hbpt-pcx
Or dial: (US) +1 575-942-2063 PIN: 424 547 711#
More phone numbers: https://tel.meet/hje-hbpt-pcx?pin=1703364648658
About Speaker: Carlos Ordaz
Abstract: Tropical precipitation will change with warming. Some results suggest that tropical precipitation extremes will increase at rates higher than Clausius-Clapeyron scaling of 7% per Kelvin. As a first step in building physical understanding of tropical precipitation changes, we apply the framework established by Pendergrass and Hartmann in their 2014 (PH14) trilogy to idealized cloud-resolving models in radiative convective equilibrium. PH14 introduce a way to understand changes to precipitation distributions in two modes: the shift and the increase mode. We explain the values of the shift and increase modes in terms of physical principles. The shift mode is captured to first order by Clausius Clapeyron scaling, while the increase mode is a combination of Clausius-Clapeyron scaling and the decrease of mass flux expected with climate change. This work contributes to a better process-level understanding of the physical mechanisms that influence tropical precipitation in a changing climate, which can in turn be used to improve NOAA’s models.The results are from the NOAA EPP/MSI CSC NERTO graduate internship project that was conducted with NOAA mentor, Nadir Jeevanjee of the Geophysical Fluid Dynamics Laboratory (GFDL), Princeton. The NERTO aligns with NOAA CSCCESSRST-II goal of furthering our understanding of the atmosphere. The NERTO Implications of Tropospheric Mass Flux Reduction for the frequency and intensity of convective precipitation also deepened the intern’s understanding of atmospheric physics.

NOAA Seminar Series: Characterizing Hub-height Wind Speed Dependence on Atmospheric Processes in an Offshore Wind Environment
2024-10-21 13:30 - 14:00
Title:Characterizing Hub-height Wind Speed Dependence on Atmospheric Processes in an Offshore Wind Environment

Presenter(s): Akarshna Iyer
Date: 21 October 2024 1:30 pm – 2:00 pm ET

Remote Access: Google Meet joining info
Video call link: https://meet.google.com/ayt-tqzz-bsn
Or dial: (US) +1 901-399-8908 PIN: 203 110 642#
More phone numbers: https://tel.meet/ayt-tqzz-bsn?pin=5479909107077
About Speaker:Akarshna Iyer
Abstract: Wind energy is a form of renewable energy that has been growing in implementation and use over the past years. However, this situation is rapidly changing, with several new offshore leases being issued to advance offshore wind energy generation. NOAA and other organizations, including the DOE, have sponsored the third Wind Forecast Improvement Project (WFIP3), a coordinated field campaign and analysis designed to improve offshore wind forecasting. This work focuses on the characterization of low-level jets (LLJs), jet streams found in the lower troposphere, that take place over Block Island, RI, and Nantucket, MA (two of the WFIP3 sites). The research questions this work seeks to answer are: Is the meteorology of the LLJ region consistent for multiple LLJ events? What is the meteorology pattern when an LLJ is present (offshore), and why? Individual LLJ cases were analyzed using observations from various WFIP3 remote sensing instruments. Preliminary results suggest, through analysis of the thermodynamic structure of the marine atmospheric boundary layer, that LLJs with predominantly southerly flow seem to correlate with warm air advection and periods of strengthened near-surface stability. The mechanisms that drive LLJs in regions off the U.S. East Coast are relatively unknown, making it an important area of study, especially since LLJ events seem to have larger errors in the High-Resolution Rapid Refresh (HRRR) model’s wind forecasts. The presence of LLJs and their shear levels can affect overall wind power generation and cause unwanted damage to wind turbines. This research benefits the science community and society because improved wind energy forecasts will increase energy reliability. The results are from the NOAA EPP/MSI CSC NERTO graduate internship project that was conducted with NOAA mentor Dr. David Turner of NOAA Research, Global Systems Laboratory (GSL), Boulder, CO. The NERTO aligns with NOAA CSC CESSRST-II’s goal to conduct NOAA mission-aligned collaborative research; the mission is To understand and predict changes in climate, weather, ocean, and coasts. The NERTO deepened the intern’s understanding of NOAA, and her results will inform future analyses of the HRRR using WFIP3 data, resulting in a faster understanding of errors within the HRRR as a function of weather conditions during low-level jet events.

NOAA Seminar Series: Phytoplankton monitoring and mapping using NOAA OAR/AOML satellite data products for urban waters ecosystems.
2024-10-21 14:00 - 14:35
Title: Phytoplankton monitoring and mapping using NOAA OAR/AOML satellite data products for urban waters ecosystems.

Presenter(s): Carolina Perez
Date: 21 October 2024 2:05 pm – 2:35 pm ET

Remote Access: Google Meet joining info
Video call link: https://meet.google.com/yjc-yvec-nkm
Or dial: (US) +1 929-269-1887 PIN: 429 915 143#
More phone numbers: https://tel.meet/yjc-yvec-nkm?pin=1379180679958
About Speaker: Carolina Perez
Abstract: Harmful Algal Blooms (HABs) significantly threaten coastal communities and public health, impacting marine ecosystems and local economies. These blooms indicate potentially toxic phytoplankton and reflect broader environmental issues such as eutrophication, runoff, and the effects of weather events on coastal areas. My research focuses on the monitoring of HABs in New York City waterbodies, specifically Randall’s Island and the Gowanus Canal, in collaboration with NOAA’s National Centers for Coastal Ocean Science (NCCOS)and the National Phytoplankton Monitoring Network (PMN). The Gowanus Canal, a notable study area, was designated a Superfund site by the EPA in 2010 due to its severe contamination from runoff and combined sewage overflow.During my time at AOML, as part of my NERTO research project, I helped develop a research technique by combining satellite data and ground-based data to develop interactive web tools to enhance the real-time monitoring of marine ecosystems. While a NOAA AOML NERTO Intern, I contributed to enhancing sustainability and resilience for marine ecosystems and coastal communities. AOML’s Ocean Chemistry and Ecosystem Dynamics (OCED) branch employs satellite observations to analyze sea surface temperature (SST) and chlorophyll-a (CHL) levels in water bodies. Using the Environmental Research Division’s Data Access Program (ERDDAP), data on SST and CHL I was able to generate detailed maps of these parameters using MATLAB. Integrating satellite-based data with in-situ measurements offers a powerful approach to understanding the health of both open ocean and coastal ecosystems. Combining these data sources, the research aims to create synthesis products that examine algal blooms and their dynamics.The results are from the NOAA EPP/MSI CSC NERTO graduate internship project that was conducted with NOAA mentors Dr. Chris Kelble and Dr. Enrique Montes of the NOAA Atlantic Oceanographic and Meteorological Laboratory, Ocean Chemistry and Ecosystem Dynamics (OCED) branch. This NERTO aligns with NOAA CSC’s goal of Resilient Coastal Communities and Economies through the theme of Oceans and Coasts. The NERTO deepened the intern’s understanding of NOAA’s research practices by giving me firsthand experience with the teamwork and dedication of a NOAA research team.

NOAA Seminar Series: Societal Data Insights: Data Integration for Inland Flooding.
2024-10-24 14:00 - 14:30
Title:Societal Data Insights: Data Integration for Inland Flooding.

Presenter(s): Isabel Lopez
Date: 24 October 2024 2:00 pm – 2:30 pm ET

Remote Access: Google Meet joining info
Video call link: https://meet.google.com/xsy-nupc-von
Or dial: (US) +1 234-276-0398PIN: 436 710 044#
More phone numbers: https://tel.meet/xsy-nupc-von?pin=2132911046548
About Speaker: Isabel Lopez
Abstract: Urban recurrent flooding presents a complex challenge distinct from nuisance flooding, typically associated with coastal areas. Unlike nuisance flooding, which is often predictable and localized, urban recurrent flooding involves adynamic interplay of factors such as dense infrastructure, varied land use, and heterogeneous topography. These elements contribute to unpredictable flood patterns that are more difficult to model and manage. The complexity of urban environments amplifies the challenges in assessing flood risks and potential impacts, necessitating a more sophisticated analytical approach. This research adapts the Topographic Wetness Index (TWI) to highlight areas prone to flooding based on flow direction and water accumulation. Additionally, it incorporates the Curve Number (CN) method to estimate runoff volumes from precipitation events, providing refined tools for measuring surface runoff and predicting flooding potential. Recognizing that urban flooding significantly impacts communities, this study integrates social data to capture the broader societal effects, particularly on vulnerable populations. The proposed framework is designed for flexibility, allowing its application across diverse urban areas with varying geographic and social characteristics. By combining geospatial analysis with social data, this research offers a comprehensive approach to flood risk assessment, providing valuable insights for policymakers and urban planners.The results are from the NOAA EPP/MSI CSC NERTO graduate internship project that was conducted with NOAA mentors Dr. Jonathon Mote and Dr. Kyle Metta of the Weather ProgramOffice (WPO) in Silver Spring, MD. The NERTO aligns with NOAA CSC CESSRST-II’s goal to understand changes in climate and weather and to share that knowledge and information with others. The NERTO project enhanced the intern’s ability to integrate social data with physical data, providing deeper insights into developing methods that combine social, weather, and climate data for more comprehensive analyses.

NOAA Seminar Series: Historical Data Reconstruction for the California Coastal Currents using 3D Empirical Orthogonal Functions and Multivariate Regression
2024-10-24 14:35 - 15:05
Title: Historical Data Reconstruction for the California Coastal Currents using 3D Empirical Orthogonal Functions and Multivariate Regression

Presenter(s): Danielle Lafarga,
Date: 24 October 2024 2:35 pm – 3:05 pm ET

Remote Access: Google Meet joining info
Video call link: https://meet.google.com/new-qbkh-azj
Or dial: (US) +1 440-482-5511 PIN: 303 375 204#
More phone numbers: https://tel.meet/new-qbkh-azj?pin=5643412593662
About Speaker: Danielle Lafarga,
Abstract: Many studies analyze ocean temperature variance, computing empirical orthogonal functions (EOFs) one layer at a time(2D). However, surface phenomena like El Nio extend into deeper layers, exemplifying how crucial it is to examine their three-dimensional structure to fully understand their impact. This research aims to compute 3D EOFs for different areas of the Pacific Ocean to answer how much and what variability can be explored across ocean layers using ahigh-resolution, eddy-resolving model known as the Global Ocean Physics Reanalysis (GLORYS). The model’s fine resolution allows for detailed analysis of smaller-scale dynamics, such as those along the coasts of California, Oaxaca, and Costa Rica. Nevertheless, the volume of data presents a memory challenge for 3D calculations. To address this, we propose an algorithm that enables 3D EOF computation on computers with limited memory (16GB RAM), making high-resolution analysis feasible.Computing 3D EOFs is crucial for understanding our oceans and how ocean dynamics can extend through multiple layers. This research aligns with NOAA’s mission to understand and predict changes in climate, weather, oceans, and coasts. By providing a more comprehensive view of ocean variability, the results also contribute valuable insights into the habitats of fish species protected by NOAA Fisheries, aiding in the preservation and management of marine ecosystems.The results are from the NOAA EPP/MSI CSC NERTO graduate internship project that was conducted with NOAA mentor, Dr. Michael Jacox of NOAA SWFSC Environmental Research Division, and NOAA collaborator Dr. Michael Alexander of NOAA Atmosphere Ocean Processes and Predictability (AOPP) Division. The NERTO aligns NOAA CSCCESSRST-II’s goal of to understand and predict changes in climate and weather. The NERTO project deepened the intern’s understanding of remote sensing technology, big data computing, and participation in NOAA mission-aligned activities through extensive collaborations with NOAA employees.

NOAA Seminar Series: Identifying local and synoptic-scale meteorological and land cover conditions favorable for the occurrence of large fires in California
2024-10-24 15:15 - 15:45
Title: Identifying local and synoptic-scale meteorological and land cover conditions favorable for the occurrence of large fires in California

Presenter(s): E’lysha Guerrero
Date: 24 October 2024 3:15 pm – 3:45 pm ET

Remote Access: Google Meet joining info
Video call link: https://meet.google.com/dft-obqy-fhb
Or dial: (US) +1 650-535-0909PIN: 928 542 289#
More phone numbers: https://tel.meet/dft-obqy-fhb?pin=5001908281383
About Speaker: E’lysha Guerrero,
Abstract: Whilst global warming projections lead to continuous warming trends and California wildfire activity is expected to increase, the state of wildfire predictions will need to be enhanced to keep up with the ever-changing climate conditions. This research project aims to characterize meteorological and land conditions related to large wildfires in California and identify their connection to predictable climate patterns, potentially enhancing future wildfire predictions. We utilize historical wildfire perimeter data (2000 “2022) and apply the K-means Clustering Algorithm on localized meteorological variables to group wildfires based on similar conditions. Larger-scale synoptic meteorology is analyzed to identify potential predictors for future wildfire occurrences. The research questions addressed during the NERTO are: (a) What are the local regional and seasonal characteristics of California’s historically larger wildfires from 2000 – 2022? and (b) What are the typical large-scale circulation patterns associated with each California clustered group?The value of this research lies in its contribution to NOAA’s mission to understand and predict climate and weather changes, specifically through advancing wildfire prediction capabilities. The insights gained can improve both prediction models and wildfire management strategies, supporting NOAA’s broader goal of mitigating the impacts of extreme weather and natural hazards. Additionally, the use of machine learning techniques, like K-means clustering, fosters innovation in predictive skills, aligning with the NOAA Physical Sciences Laboratory’s mission to develop new knowledge and tools for forecasting extreme events such as wildfires. The results are from the NOAA EPP/MSI CSC NERTO graduate internship project that was conducted with NOAA mentor Dr. Andrew Hoell, Dr. Rochelle Worsnop, and Dr. Melissa Breeden of NOAA Physical Sciences Laboratory, Boulder, CO. The NERTO aligns with NOAA CSC CESSRST-II’s goal to understand and predict changes in climate and weather. The NERTO project deepened the intern’s understanding and increased the research skill sets of data acquisition, preprocessing, analyses, and validation techniques required for earth system science research.

NOAA Seminar Series: Remote sensing of extreme weather events on CDOM in Long Island Sound
2024-10-25 13:30 - 14:00
Title: Remote sensing of extreme weather events on CDOM in Long Island Sound

Presenter(s): Charlotte Rhoads
Date: 25 October 2024 1:30 pm – 2:00 pm ET

Remote Access: Google Meet joining info
Video call link: https://meet.google.com/gnq-msir-wvj
Or dial: (US) +1 267-553-4621 PIN: 434 202 737#
More phone numbers: https://tel.meet/gnq-msir-wvj?pin=9872489736362

About Speaker: Charlotte Rhoads
Abstract: Coastal areas are critical in global carbon cycling, particularly as climate change alters carbon fluxes through rising temperatures, shifting precipitation patterns, and sea-level rise. These changes affect microbial activity, carbon remineralization, and transportation pathways, influencing the fate of carbon in coastal environments. Dissolved organic matter (DOM), sourced from land and sea, regulates ecosystem functioning, while colored dissolved organic matter (CDOM) acts as an optical proxy for tracking DOM dynamics. Extreme weather events modify DOM quantity and quality, impacting harmful algal blooms (HABs). In Long Island Sound (LIS), a eutrophic estuary, high-resolution satellite remote sensing, and regionally optimized algorithms enable monitoring of DOM and its response to extreme precipitation events. By analyzing CDOM’s optical properties, such as aCDOM(300),DOC, S275″295, and SR, changes in DOM can be linked to carbon cycling and water quality. Increased DOM flux during heavy rains drives dinoflagellate blooms, posing threats to water quality and aquaculture. Identifying CDOM optical signatures of harmful dinoflagellates like Prorocentrumcordatum and Margalefidinium polykrikoides may allow for monitoring via remote sensing. The results are from the NOAA EPP/MSI CSC NERTO graduate internship project that was conducted with NOAA mentors Veronica Lance and Jonathan Sherman of NESDIS and Gary Wilkfors and Lisa Guy of NOAA Fisheries. The NERTO aligns with NOAACSC CESSRST-II’s goal of providing actionable remote sensing-based research to stakeholders. The NERTO deepened the intern’s understanding of NOAA’s mission of managing and protecting coastal ecosystems and resources.

Climate Seminar Series: The Expanding Reach of Ocean Acidification
2024-11-14 12:00 - 13:00
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Event: NOAA EPP/MSI CSC Climate Change Seminar Series
Title: THE EXPANDING REACH OF OCEAN ACIDIFICATION
Presenter: Andrea Fassbender, OAR Pacific Marine Environment Lab (Hosted by CCME)
Date: November 14, 2024
Time: 12:00pm-1:00 PM
Register: Click here to register
After registering, you will receive a confirmation email with details to join the event
About the Seminar Series.
Join NOAA’s EPP/MSI Cooperative Science Centers for this lecture series featuring scientists from NOAA Fisheries and NOAA Research. These monthly seminars will be hosted by the lead institution, virtually or hybrid throughout the 2025-2025 academic year. For more information, please visit, https://research.noaa.gov/noaa-csc-24-25/
