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DTSTART;TZID=America/New_York:20241010T110000
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UID:5215-1728558000-1728561600@www.cessrst.org
SUMMARY:NOAA Seminar Series: Urban Study of Excessive Rainfall Rates
DESCRIPTION:Title:  Urban Study of Excessive Rainfall Rates\n \nPresenter(s): Melissa Crouch \nDate: 10 October 2024 11:05 am – 11:35 am ET\n \nRemote Access: Google Meet joining info \nVideo call link: https://meet.google.com/yat-nxrf-emf \nOr dial: (US) +1 321-405-2803 PIN: 268 246397 \n#More phone numbers: https://tel.meet/yat-nxrf-emf?pin=4547124589737 \nAbout Speaker:  Melissa Crouch \nAbstract: 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.
URL:https://www.cessrst.org/event/noaa-seminar-series-urban-study-of-excessive-rainfall-rates/
LOCATION:NY
CATEGORIES:NOAA Seminar Series,Seminar Series
ORGANIZER;CN="Center for Earth System Sciences and Remote Sensing Technologies (CESSRST)":MAILTO:cessrst@ccny.cuny.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241010T120000
DTEND;TZID=America/New_York:20241010T130000
DTSTAMP:20260430T042057
CREATED:20240910T140728Z
LAST-MODIFIED:20250320T133454Z
UID:5155-1728561600-1728565200@www.cessrst.org
SUMMARY:Climate Seminar Series: Advancing NOAA's climate Modeling and its application to Marine Ecosystem
DESCRIPTION:Download Flyer \nView details \nEvent: NOAA EPP/MSI CSC Climate Change Seminar Series \nTitle: ADVANCING NOAA’S CLIMATE MODELING AND ITS APPLICATION TO MARINE ECOSYSTEM MANAGEMENT\, CLIMATE PROJECTIONS\, AND SERVICE PROVISION \nPresenter: Dan Barrie\,  OAR Climate Program Office (Hosted by CCME) \nDate: October 10\, 2024 \nTime: 12:00pm-1:00 PM \nRegister: Click here to register \n After registering\, you will receive a confirmation email with details to join the event \n About the Seminar Series. \nJoin 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/ \n 
URL:https://www.cessrst.org/event/climate-change-seminar-series-advancing-noaas-climate-modeling-and-its-application-to-marine-ecosystem/
LOCATION:NY
CATEGORIES:NOAA Seminar Series,Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://www.cessrst.org/wp-content/uploads/2024/09/Climate-Seminar-Series-Fall-2024.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241010T130000
DTEND;TZID=America/New_York:20241010T133000
DTSTAMP:20260430T042057
CREATED:20241008T171255Z
LAST-MODIFIED:20241008T171255Z
UID:5217-1728565200-1728567000@www.cessrst.org
SUMMARY:NOAA Seminar Series: Spatiotemporal variability of heat stress in the Imperial Valley using remote sensing and weather station data
DESCRIPTION:Title:  Spatiotemporal variability of heat stress in the Imperial Valley using remote sensing and weather station data\n \nPresenter(s): Stephanie Hurtado-Gonzalez \nDate: 10 October 2024 1:05 pm – 1:35 pm ET\n \nRemote Access: Google Meet joining info \nVideo call link: https://meet.google.com/jug-fjxk-hhc \nOr dial: (US) +1 1 636-400-7284 PIN: 741054 399 \n#More phone numbers: https://tel.meet/jug-fjxk-hhc?pin=4161286056192 \nAbout Speaker: Stephanie Hurtado-Gonzalez \nAbstract: 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: \n\nHow has WBGT changed over the study period? Are there any variations between weather stations?\nWhat is the relationship between remotely sensed Land Surface Temperature (LST) and Wet Bulb Globe Temperature (WBGT)?\nWhich variable within the WBGT equation plays the most significant role in determining WBGT?\n\nThe 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.
URL:https://www.cessrst.org/event/noaa-seminar-series-spatiotemporal-variability-of-heat-stress-in-the-imperial-valley-using-remote-sensing-and-weather-station-data/
LOCATION:NY
CATEGORIES:NOAA Seminar Series,Seminar Series
ORGANIZER;CN="Center for Earth System Sciences and Remote Sensing Technologies (CESSRST)":MAILTO:cessrst@ccny.cuny.edu
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