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X-ORIGINAL-URL:https://www.cessrst.org
X-WR-CALDESC:Events for NOAA Center for Earth System Sciences and Remote Sensing Technologies
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TZID:America/New_York
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260501T140000
DTEND;TZID=America/New_York:20260501T150000
DTSTAMP:20260504T131759Z
CREATED:20260404T131603Z
LAST-MODIFIED:20260504T131759Z
UID:5951-1777644000-1777647600@www.cessrst.org
SUMMARY:Social Science Community of Practice Meeting  (CoP)
DESCRIPTION:[vc_row][vc_column][vc_column_text css=””]CESSRT-II Social Science Meeting:  Student Cohort Community of Practice Meeting \nSocial science community of practice meeting. \nDate: May 1 2026  at 2pm\, \nhttps://us02web.zoom.us/j/82334842001?pwd=6LrZTN482gRnSNePmehLzC8ZpSFwOI.1\nMeeting ID: 823 3484 2001\nPasscode: 863977[/vc_column_text][/vc_column][/vc_row]
URL:https://www.cessrst.org/event/social-science-community-of-practice-meeting-cop-9/
CATEGORIES:Informational Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260612T130000
DTEND;TZID=America/New_York:20260612T143000
DTSTAMP:20260704T231723Z
CREATED:20260604T231600Z
LAST-MODIFIED:20260704T231723Z
UID:6018-1781269200-1781274600@www.cessrst.org
SUMMARY:Social Science Community of Practice Meeting  (CoP)
DESCRIPTION:[vc_row][vc_column][vc_column_text css=””]CESSRT-II Social Science Meeting:  Student Cohort Community of Practice Meeting \nSocial science community of practice meeting. \nDate: June 12\, 2026  at 1pm\, \n[/vc_column_text][/vc_column][/vc_row]
URL:https://www.cessrst.org/event/social-science-community-of-practice-meeting-cop-10/
CATEGORIES:Informational Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260707T130000
DTEND;TZID=America/New_York:20260707T143000
DTSTAMP:20260707T130230Z
CREATED:20260701T125737Z
LAST-MODIFIED:20260707T130230Z
UID:6023-1783429200-1783434600@www.cessrst.org
SUMMARY:Pre-Forum Student Orientation
DESCRIPTION:[vc_row][vc_column][vc_column_text css=””]\nAs we prepare for the 12th Biennial EPP/MSI Education and Science Forum. We invite all fellows to this orientation.\n\n\nJoin Zoom Meeting\nhttps://us02web.zoom.us/j/89323420905?pwd=21NdaGel5hJUMUb80DQJhSnrbiJntv.1\n\nMeeting chat link\nhttps://us02web.zoom.us/launch/jc/89323420905\n\nMeeting ID: 893 2342 0905\nPasscode: 682930\nAccess Code: 825-250-709 \nUnited States: +1 (872) 240-3311 \n\n[/vc_column_text][/vc_column][/vc_row]
URL:https://www.cessrst.org/event/pre-forum-student-orientation/
CATEGORIES:Informational Webinar
ATTACH;FMTTYPE=image/png:https://www.cessrst.org/wp-content/uploads/2026/07/pre-forum-orientation.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260720T080000
DTEND;TZID=America/New_York:20260723T170000
DTSTAMP:20260805T140129Z
CREATED:20260217T135108Z
LAST-MODIFIED:20260805T140129Z
UID:5813-1784534400-1784826000@www.cessrst.org
SUMMARY:2026 EPP Biennial Education and Science Forum
DESCRIPTION:[vc_row][vc_column][vc_column_text css=””]The 12th Biennial NOAA EPP Education and Science Forum will be held in-person on the campus of  the City College of New York (CUNY) on July 20 – 23\, 2026 \nThe forum is a celebration of the Program’s 25th Anniversary. \nThe Biennial Education and Science Forum focuses on the important role educational partners such as the four EPP Cooperative Science Centers (CSCs)  contribute to the NOAA community. The EPP Forum supports NOAA’s objective to  prepare a strong pipeline of qualified candidates for the future workforce. Since 2001\, EPP institutions have graduated over 2\,000 students in NOAA mission fields. \nRegistration is closed.\nVISIT THE EPP JUBILEE PAGE[/vc_column_text][/vc_column][/vc_row]
URL:https://www.cessrst.org/event/2026-epp-biennial-education-and-science-forum/
LOCATION:The City College of New York\, 160 Convent Avenue\, New York\, NY\, 10031\, United States
CATEGORIES:Conference/Symposium,Informational Webinar,Workshop
ATTACH;FMTTYPE=image/png:https://www.cessrst.org/wp-content/uploads/2026/02/EPP-Forum-Group-Pic.png
ORGANIZER;CN="Center for Earth System Sciences and Remote Sensing Technologies (CESSRST)":MAILTO:cessrst@ccny.cuny.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260826T130000
DTEND;TZID=America/New_York:20260826T140000
DTSTAMP:20260820T193718Z
CREATED:20260820T193718Z
LAST-MODIFIED:20260820T193718Z
UID:6052-1787749200-1787752800@www.cessrst.org
SUMMARY:NOAA Seminar Series: A Systematic Review of Literature on Renters and Climate and Weather Hazards
DESCRIPTION:[vc_row][vc_column][vc_column_text css=””]\n\nTitle: A Systematic Review of Literature on Renters and Climate and Weather Hazards\n \nPresenter(s): Enrique Valencia\, CESSRST II Graduate Fellow  \nRemote Access: Video call link: https://meet.google.com/mun-kjoe-rzp\n\n\n\nAbstract: \nWhile renters are about 36% of the U.S. population (DeSilver 2021)\, the literature on their experiences with different climate and weather hazards is underdeveloped. Furthermore\, previous systematic reviews of housing tenure and hazards have included dated studies and have not had an exclusive focus on the U.S. (Lee and Van Zandt 2019; Gonzalez and Fisher2026); these have also had a single hazard focus (Gonzalez and Fisher 2026). Up to date insights on how renters are experiencing climate and weather hazards across U.S. communities are needed to enhance multi-scalar resilience efforts. This systematic review focused on U.S. studies (n=29) conducted after 2010 on renters and climate and weather hazards in the U.S.; these included multiple hazards\, which aligned with the Science Priorities of the NOAA Office of Atmospheric Research. Additionally\, Gemini.AI was used to develop database search strings. \nA qualitative synthesis of qualitative and mixed-methods peer-reviewed studies and grey literature was conducted to assess renters’ direct experiences. Specifically\, a targeted iterative review was employed to gain insights on the research question: what are the challenges for renters across U.S. regions when preparing\, recovering from\, and adapting to climate and weather-related hazards? Housing tenure was associated with differentiated preparedness\, recovery\, and adaptation outcomes. Renter housing quality and the association of renters with other social vulnerability dimensions exacerbated hazard risk. Policies and programs have yet to adequately integrate affordable housing access and housing stability with resiliency. Tenure differentiation within studies was underdeveloped; this underscored the need for methodological innovation to better include the diversity in renter types and hybrid tenure(e.g.\, renter-owner) like mobile and manufactured home residents. Hazards studies should further develop methodologies for the study of diverse tenure types in relation to climate and weather hazards. Finally\, studies that move beyond the owner/renter binary as broad categories can better inform the contours of resilience interventions \n\n\n[/vc_column_text][/vc_column][/vc_row]
URL:https://www.cessrst.org/event/noaa-seminar-series-a-systematic-review-of-literature-on-renters-and-climate-and-weather-hazards/
CATEGORIES:NOAA Seminar Series,Seminar Series
ORGANIZER;CN="Center for Earth System Sciences and Remote Sensing Technologies (CESSRST)":MAILTO:cessrst@ccny.cuny.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260929T110000
DTEND;TZID=America/New_York:20260929T120000
DTSTAMP:20260921T183352Z
CREATED:20260921T183352Z
LAST-MODIFIED:20260921T183352Z
UID:6129-1790679600-1790683200@www.cessrst.org
SUMMARY:NOAA Seminar Series: Revisiting Historical Airborne Radar Datasets
DESCRIPTION:[vc_row][vc_column][vc_column_text css=””]\n\nTitle: Revisiting Historical Airborne Radar Datasets\n \nPresenter(s): Aaliyah Perez CESSRST II Graduate Fellow  \nRemote Access: Video call link: https://meet.google.com/nnp-hfix-eko\n\n\nAbstract: \nTropical Cyclone Radar Archive of Doppler Analyses with Re-centering (TC-RADAR) is a database containing deficiencies in software\, coverage\, and methodology for cases prior to 2010 that must be revisited. This pilot\, multi-case project investigated: (1) reprocessing pre-2010 Major Hurricane cases using NOAA’s current automated airborne radar processing software to address deficiencies; and (2) comparing original and reprocessed analyses to previous literature and flight-level winds to TDR winds\, to qualitatively and quantitatively note improvements in vertical wind motion and wind speed. In total\, 13 tropical cyclone analyses were produced (10 were major or near-major hurricanes). Results show using current NOAA airborne radar processing software corrects pre-2010 deficiencies and improves winds in major hurricanes in terms of: reduced occurrence of anomalous vertical winds and wind speeds\, peak (0.2%frequency) value (25-30%)\, and 99.9th percentile value (2-3 m/s). After reprocessing Major Hurricane Wilma\, distributions between flight-level and TDR vertical velocity are in better agreement as anomalous vertical velocities are reduced in the TDR. Contoured Frequency by Altitude Diagrams (CFADs) containing all original analyses had its vertical winds reduced from approximately ± 6 m/s to ± 2 m/s in the reprocessed CFAD. At the 99.9th percentile for major hurricanes\, results are similar to those in previous literature through 10 km\, concluding that previous literature rightly excluded the pre-2010 deficient cases. Comparisons of TDR-based vertical velocity to flight-level instrument data with results of recent studies demonstrate that the reprocessed data is now suitable for research. \nThe results presented are from the NOAA Experiential Research and Training Opportunity (NERTO) graduate internship project conducted with NOAA mentor\, Dr. Paul Reasor (OAR\, AOML\, HRD). This NERTO experience aligns with the NOAA Cooperative Science Center in CESSRST-II\, supporting the Center’s goal of conducting NOAA mission-aligned collaborative research. This project\, titled Revisiting Historical Airborne Radar Datasets\, addressed the research question: how can software\, coverage\, and methodology deficiencies in TC-RADAR be addressed for pre-2010 Major Hurricane cases using NOAA’s current automated airborne radar processing software? The work provides value to the scientific community and program stakeholders by improving the processing of historical airborne reconnaissance radar datasets for research use that can be transitioned into National Weather Service operations to improve forecasts and ultimately increase weather-readiness. Through this internship\, the student deepened their understanding of NOAA mission areas and gained enhanced skills in modifying and compiling airborne radar processing code\, learning to critically assess the products derived from radar processing software\, and communicating research results to mixed audiences within the NOAA community. \n\n\n[/vc_column_text][/vc_column][/vc_row]
URL:https://www.cessrst.org/event/noaa-seminar-series-revisiting-historical-airborne-radar-datasets/
CATEGORIES:NOAA Seminar Series,Seminar Series
ORGANIZER;CN="Center for Earth System Sciences and Remote Sensing Technologies (CESSRST)":MAILTO:cessrst@ccny.cuny.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260929T123000
DTEND;TZID=America/New_York:20260929T133000
DTSTAMP:20260921T183633Z
CREATED:20260921T183633Z
LAST-MODIFIED:20260921T183633Z
UID:6132-1790685000-1790688600@www.cessrst.org
SUMMARY:NOAA Seminar Series: Retrieval Assessments for Different Microwave Sounder Configurations: Examining the Impact of Radio Frequency Interference on the Advanced Technology Microwave Sounder
DESCRIPTION:[vc_row][vc_column][vc_column_text css=””]\n\nTitle: Retrieval Assessments for Different Microwave Sounder Configurations: Examining the Impact of Radio Frequency Interference on the Advanced Technology Microwave Sounder\n \nPresenter(s): Michelle Wagner\, CESSRST II Graduate Fellow  \nRemote Access: Video call link: https://meet.google.com/ycu-uqay-kxm\n\n\nAbstract: \nNOAA’s Low earth orbit satellite sensors provide more than 80 percent of data assimilated into numerical weather prediction models and are critical for producing timely and accurate weather forecasts. Recent expansion of 5G wireless technology could impact weather forecasting by introducing unwanted radio signals or radio frequency interference (RFI) to temperature and moisture sounding channels used by passive satellite microwave radiometers. In this project a new method for assessing radio frequency interference impact across globally diverse environmental conditions for the Advanced Technology Microwave Sounder (ATMS) 50 – 53 GHz channel measurements is suggested. The method is based on the analysis of the ATMS brightness temperatures simulated using the Community Radiative transfer model (CRTM) and Radiative Transfer for the TIROS Operational Vertical Sounder (RTTOV). Synthetic noise equivalent delta temperature (NEDT) (i.e. per channel brightness temperature uncertainty due to instrument noise)\, and a spectrally non-uniform radio frequency interference (RFI) – induced brightness temperature perturbation were applied to evaluate the impact of sensor noise and RFI on the simulated observations. Different combinations of ATMS channels were excluded from a machine-learning based retrieval algorithm predictor set to evaluate the impact of channel-specific information loss on retrieved satellite soundings. Comparison with retrievals derived from observed ATMS brightness temperatures showed the best agreement for atmospheric temperature using noise with a standard deviation of 1 times the nominal NEDT while those for humidity showed the closest agreement with 3times the nominal NEDT. The ATMS configuration comparison demonstrated slight degradation with removal of channels 3\, 4 and 5 with the exclusion of channel 5introducing the largest impact among the three. The exclusion of the full V-band introduced a degradation of approximately 2 K near the surface and 5K in the upper troposphere The inclusion of a 10 K RFI perturbation resulted in a drastic degradation of the retrieval error in the mid troposphere when applied to channels 5-6 and near the surface when applied to 3 4. These results support the need for RFI detection capability in order to preserve observation accuracy for the ATMS and future microwave sounder satellites. \nThe results presented are from the NOAA Experiential Research Training Opportunity (NERTO) graduate internship project conducted under the mentorship of Lihang Zhou\, LEO Satellite Product Manager at NOAA NESDIS\, JPSS. This NERTO experience aligns with the NOAA Cooperative Science Center in CESSRST-II\, supporting the Center’s goal of conducting NOAA mission-aligned collaborative research to understand and predict changes in weather and atmosphere\, land and water\, oceans and coasts. This project\, titled Retrieval Assessments for Different Microwave Sounder Configurations: Examining the Impact of Radio Frequency Interference on the Advanced Technology Microwave Sounder addressed the research question: what is the potential impact radio frequency interference from recent FTU allocations on ATMS temperature and humidity sounding data products. The work provides value to the scientific community and program stakeholders by creating a rapid assessment methodology to support the development of next generation technology for microwave sounders in support of emerging architectures that emphasize rapid sensor development and deployment while still preserving data integrity of data products while applying the methodology to a real world case study that provides direct support to current NESDIS priorities. Through this internship\, the student deepened their understanding of NOAA mission areas and gained enhanced skills in atmospheric retrievals\, algorithm development\, satellite mission operations\, JPSS mission science\, model simulations\, calibration and validation processes and algorithm development. \n\n\n[/vc_column_text][/vc_column][/vc_row]
URL:https://www.cessrst.org/event/noaa-seminar-series-retrieval-assessments-for-different-microwave-sounder-configurations-examining-the-impact-of-radio-frequency-interference-on-the-advanced-technology-microwave-sounder/
CATEGORIES:NOAA Seminar Series,Seminar Series
ORGANIZER;CN="Center for Earth System Sciences and Remote Sensing Technologies (CESSRST)":MAILTO:cessrst@ccny.cuny.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260929T134500
DTEND;TZID=America/New_York:20260929T141500
DTSTAMP:20260921T184328Z
CREATED:20260921T184034Z
LAST-MODIFIED:20260921T184328Z
UID:6135-1790689500-1790691300@www.cessrst.org
SUMMARY:NOAA Seminar Series: Assessing the Impact of NOAA Satellite Fire Products on Air Quality Alerts and Interventions
DESCRIPTION:[vc_row][vc_column][vc_column_text css=””]\n\nTitle: Assessing the Impact of NOAA Satellite Fire Products on Air Quality Alerts and Interventions to Prevent Wildfire Smoke Exposure\n \nPresenter(s): Jemma Przybocki\,  CESSRST II Graduate Fellow  \nRemote Access: Video call link: https://meet.google.com/cep-aiue-wiq\n\n\nAbstract: \nAcross the US\, many people experience unhealthy levels of air pollution\, including pollutants such as fine particulate matter (PM2.5). Exposure to high concentrations of these pollutants can have severe negative impacts on public health. Air quality forecasting enables the National Weather Service (NWS) to provide predictive alerts that inform the public of actions they can take to reduce exposure to poor air quality. Wildfires are a major source of PM2.5 emissions\, and this work aims to quantify how assimilating NOAA satellite-based fire emissions into air quality models can improve the accuracy of air quality alerts. Improved accuracy of air quality alerts can lower morbidity and mortality associated with smoke exposure. This is evaluated by comparing outputs from the Weather Research and Forecasting Model with Chemistry(WRF-Chem) simulations run with and without satellite-based fire emissions. A health impact function is used to estimate PM2.5-attributable asthma emergency department (ED) visits and premature mortalities for situations in which air quality alerts were and were not provided based on the National Ambient Air Quality Standards (NAAQS) defined by the EPA. The public health benefits of air quality alerts are quantified using previously published estimates of PM2.5 exposure reduction due to individual behavior modification. It is found that assimilating fire emissions into air quality models increases the number of alert days and provides increased opportunities for the public to reduce PM2.5 exposure. These reductions in exposure lead to substantial public health benefits through reductions in PM2.5-attributableasthma ED visits and premature mortalities. The economic value associated with these public health benefits is around $24.6 billion annually\, which exceeds the operational cost of the JPSS mission and demonstrates a positive return on investment (ROI). \nThe results presented are from the NOAA EPP CSC NERTO graduate internship project conducted under the mentorship of Dr. Shobha Kondragunta\, NOAA NESDIS STAR. This NERTO experience aligns with the NOAA Cooperative Science Center in CESSRST-II\, supporting the Center’s goal of conducting NOAA mission-aligned collaborative research to understand and predict changes in weather and atmosphere\, land and water\, oceans and coasts. This project\, titled Assessing the Impact of NOAA Satellite Fire Products on Air Quality Alerts and Interventions to Prevent Wildfire Smoke Exposure\, addressed the research question: How does the assimilation of NOAA-satellite-based fire emissions into air quality models improve the accuracy of air quality alerts and lower mortality associated with smoke exposure? The work provides value to the scientific community and program stakeholders by assessing the public health benefits from integrating satellite-based smoke emissions into air quality models to maximize the return on investment of NOAA satellite missions. Through this internship\, the student deepened their understanding of NOAA mission areas and gained enhanced skills in coding\, data analysis\, and scientific communication. \n\n\n[/vc_column_text][/vc_column][/vc_row]
URL:https://www.cessrst.org/event/noaa-seminar-series-assessing-the-impact-of-noaa-satellite-fire-products-on-air-quality-alerts-and-interventions/
CATEGORIES:NOAA Seminar Series,Seminar Series
ORGANIZER;CN="Center for Earth System Sciences and Remote Sensing Technologies (CESSRST)":MAILTO:cessrst@ccny.cuny.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260929T143000
DTEND;TZID=America/New_York:20260929T150000
DTSTAMP:20260921T184626Z
CREATED:20260921T184626Z
LAST-MODIFIED:20260921T184626Z
UID:6138-1790692200-1790694000@www.cessrst.org
SUMMARY:NOAA Seminar Series: Testing artificial intelligence tools for understanding and predicting oceanographic changes and their effects on marine ecosystems
DESCRIPTION:[vc_row][vc_column][vc_column_text css=””]\n\nTitle: Testing artificial intelligence tools for understanding and predicting oceanographic changes and their effects on marine ecosystems\n \nPresenter(s): Lewis Luis\, CESSRST II Graduate Fellow  \nRemote Access: Video call link: https://meet.google.com/mmo-ztub-ykw\n\n\nAbstract: \nGenerative AI (Gen AI) has undertaken rapid development in recent years with applications in commerce\, science\, research among other fields. One known design flaw\, pertaining to rigorous research\, is Gen AI’s tendency to hallucinate responses. A new paradigm has emerged as a response\, Retrieval-Augmented Generation (RAG) which serves as the bridge between Gen AI and the external database. We propose a novel RAG tool as an interface to be used in conjunction with scientific papers related to oceans. A key objective was to create a dedicated agentic pipeline that reads the chunked text files\, generates multiple choice questions\, conducts quality assurance and finally attempts to answer the generated questions using various types of agents. Benchmarking was conducted to verify accurate results. To compare\, our RAG to a no-context and perfect context agent was also tested. It was found that our RAG agent is effective at retrieval of accurate data with accuracy being greater than 80%. The no context agent was highly limited with best runs only achieving 70% accuracy. Limitations of the study include the token limit with the API tools used and the limited number of scientific papers. Further research may continue to build the framework of this tool; expanding it to encompass more scientific papers. The tool could be connected to a private LLM and have the user load data in. Hence\, when our RAG agent achieves greater accuracy\, it becomes usable as a tool for interpreting oceanic scientific papers at a greater level of efficiency. \nThe results presented are from the NOAA EPP CSC NERTO graduate internship project conducted under the mentorship of Andrew Ross\, Geophysical Fluid Dynamics Laboratory\, GFDL. This NERTO experience aligns with the NOAA Cooperative Science Center in CESSRST-II\, supporting the Center’s goal of collaborative research to understand and predict changes in our oceans and that impact on marine life. This project\, titled Testing artificial intelligence tools for understanding and predicting oceanographic changes and their effects on marine ecosystems addressed the research question: can we use Agentic AI systems with RAG tools to reliably understand changes in the ocean within the Northeastern U.S shelf region and can that system extrapolate conditions via data ingested. The work provides value to the scientific community and program stakeholders by expanding the knowledge NOAA has on AI tools and allowing researchers to utilize this Agentic RAG combination to accelerate their own research pipelines. Through this internship\, the student deepened their understanding of NOAA mission areas and gained enhanced skills in utilization of complex agentic AI systems and an increased understanding in oceanography. Additionally\, gained experience using cloud computing platforms and NVIDIA APIs. \n\n\n[/vc_column_text][/vc_column][/vc_row]
URL:https://www.cessrst.org/event/noaa-seminar-series-testing-artificial-intelligence-tools-for-understanding-and-predicting-oceanographic-changes-and-their-effects-on-marine-ecosystems/
CATEGORIES:NOAA Seminar Series,Seminar Series
ORGANIZER;CN="Center for Earth System Sciences and Remote Sensing Technologies (CESSRST)":MAILTO:cessrst@ccny.cuny.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260930T113000
DTEND;TZID=America/New_York:20260930T120000
DTSTAMP:20260921T185118Z
CREATED:20260921T184951Z
LAST-MODIFIED:20260921T185118Z
UID:6141-1790767800-1790769600@www.cessrst.org
SUMMARY:NOAA Seminar Series: Remote Sensing of Suspended Particulate Matter in Coastal Alaska with Ocean Color
DESCRIPTION:[vc_row][vc_column][vc_column_text css=””]\n\nTitle:Remote Sensing of Suspended Particulate Matter in Coastal Alaska with Ocean Color\n \nPresenter(s): Storm Heidinger\, CESSRST II Graduate Fellow  \nRemote Access: Video call link: https://meet.google.com/wvz-xeyd-kez\n\n\nAbstract: \nThe results presented are from the NOAA EPPCSC NERTO graduate internship project conducted under the mentorship of Dr. Menghua Wang and co-mentor Dr. Jianwei Wei\, Marine Ecosystems and Coastal Branch\, NOAA/NESDIS/STAR. This NERTO experience aligns with the NOAA Cooperative Science Center in CESSRST-II\, supporting the Center’s goal to understand and predict changes in oceans and coasts through science. This project\, titled “Remote Sensing of Suspended Particulate Matter in Coastal Alaska with Ocean Color” addresses the performance and uncertainty of suspended particulate matter (SPM) retrieval algorithms in the complex and challenging coastal Arctic Alaska region. \nSatellite ocean color remote sensing of suspended particulate matter (SPM) provides valuable spatial and temporal coverage for the study of coastal systems\, including water clarity\, riverine exports\, and erosion. Satellite remote sensing retrievals of water quality parameters are critical in Arctic Alaska due to the expansive spatial extent and challenging sampling logistics in remote regions. The NOAA NESDIS STAR Ocean Color Science Team developed an algorithm for global SPM retrieval using the NIR-RGB (near infrared\, red\, green\, and blue) bands of the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor. However\, the study noted the need for additional evaluation in high latitude regions such as Arctic Alaska due to remote sensing reflectance (Rrs) uncertainties. This project compiled an expanded validation data set for Arctic Alaska with in situ SPM and Rrs samples\, and granules from the NOAA VIIRS-SNPP (Suomi National Polar Orbiting Partnership) satellite sensor. \nThe NIR-RGB algorithm predicted SPM using in situ Rrs with strong agreement with in situ SPM samples based on fit statistics including the coefficient of determination (R2)\, bias\, and median absolute percent difference (MAPD). Using VIIRS-SNPP Rrs for SPM prediction\, R2was lower but bias and MAPD were consistent. The Rrs validation showed high alignment for the Rrs(671)/Rrs(551) band ratio\, which is the most important for SPM retrieval in turbid waters\, but weaker performance for the Rrs(551)/Rrs(443) band ratio used for SPM retrieval in clear waters\, potentially indicating a driver of the lower fit for satellite SPM retrievals. As a case study\, the project developed a spatial climatology and time series of SPM from 2012-2025in the Colville River Delta region of the Beaufort Sea using the NIR-RGB algorithm. \nThe work provides value to the scientific community and program stakeholders by assessing the uncertainty of the NIR-RGB suspended particulate matter (SPM) retrieval algorithm\, indicating the suitability of theLevel-2 VIIRS SPM product available in NOAA Coast Watch and OC View for fisheries and coastal management applications in the coastal Arctic Alaska region. Through this internship\, the student deepened their understanding of NOAA mission areas and gained skills in satellite remote sensing ocean color calibration and validation \n\n\n[/vc_column_text][/vc_column][/vc_row]
URL:https://www.cessrst.org/event/noaa-seminar-series-remote-sensing-of-suspended-particulate-matter-in-coastal-alaska-with-ocean-color/
CATEGORIES:NOAA Seminar Series,Seminar Series
ORGANIZER;CN="Center for Earth System Sciences and Remote Sensing Technologies (CESSRST)":MAILTO:cessrst@ccny.cuny.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260930T130000
DTEND;TZID=America/New_York:20260930T140000
DTSTAMP:20260921T125352Z
CREATED:20260908T153903Z
LAST-MODIFIED:20260921T125352Z
UID:6074-1790773200-1790776800@www.cessrst.org
SUMMARY:Seminar: Weather Ready NYC: Forecasting\, Warnings\, and Urban Weather Challenges
DESCRIPTION:[vc_row][vc_column][vc_column_text css=””]\nDownload Flyer \nJoin us for a seminar presented by NOAA NWS “Weather Ready NYC: Forecasting\, Warnings\, and Urban Weather Challenges” \nDate: September 30\, 2026 \nTime: 12pm \nAbstract: \nThis presentation by Dave Radell\, Meteorologist in Charge\, and Nelson Vaz\, Warning Coordination Meteorologist\, from National Weather Service (NWS) New York\, NY\, will provide an overview of NWS’s mission\, along with insights into forecast and warning operations for the Tri-State area.  NWS’s mission is to deliver forecast and warning information in a way that better supports emergency managers\, first responders\, government officials\, businesses and the public to make fast\, smart decisions that save lives and property and enhance livelihoods. NWS works closely with NYCEM to better prepare NYC residents for all seasons through its weather\, water and climate data\, forecasts and warnings for the protection of life and property.  The session will end with a discussion on current forecast challenges related to heavy rainfall forecasting in the urban environment. \n[/vc_column_text][/vc_column][/vc_row]
URL:https://www.cessrst.org/event/seminar-weather-ready-nyc-forecasting-warnings-and-urban-weather-challenges/
LOCATION:City College of New York\, 160 Convent Avenue\, New York\, 10031
CATEGORIES:Seminar Series,Workshop
ORGANIZER;CN="Center for Earth System Sciences and Remote Sensing Technologies (CESSRST)":MAILTO:cessrst@ccny.cuny.edu
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