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DTSTART;TZID=America/New_York:20230621T130000
DTEND;TZID=America/New_York:20230621T133000
DTSTAMP:20260423T114420
CREATED:20230608T184229Z
LAST-MODIFIED:20230620T210014Z
UID:4073-1687352400-1687354200@www.cessrst.org
SUMMARY:NOAA Seminar Series: Evaluation of operational flood forecasting models in Puerto Rico
DESCRIPTION:Title: Evaluation of operational flood forecasting models in Puerto Rico \nSpeaker: Gerado Trossi Torres\, NOAA EPP/MSI CESSRST-II Fellow at UPRM \nDate: June 21\, 20223 \nTime: 1:00 PM ET \nVenue: Virtual \nMeeting Link :  https://meet.google.com/eeu-gete-ueb \nLearn more about the speaker \nAbstract: The aim of this project NOAA Experiential Research and Training Opportunities (NERTO) project carried out at the Weather Forecast Office (WFO) in San Juan\, Puerto Rico (PR) is to analyze hydrological data from the National Water Model (NWM) and compare it with observed data from the United States Geological Survey (USGS). The established case study was a flash rainfall event in February of 2022. This rainfall event lasted three days\, which precipitation accumulations from 1 to 16 inches were measured\, affecting around 29 municipalities. The study examines 13 USGS stations where the most significant river flow occurred\, surpassing the established river flood stages\, covering 10 of the 29 affected municipalities. The NWM output data from two of four configurations added in the model’s latest version were analyzed\, specifically for Puerto Rico. Within these configurations\, two variables are considered to conduct the analysis. The first variable\, RAINRATE\, offers the rainfall forecast for the event over PR. The second variable\, streamflow\, was used to develop the flow behavior throughout the 48 hours of the event.\nThe streamflow forecast was evaluated with observed data during the event measured by USGS stations. From our results\, three stations were chosen that represent different forecast scenarios. In the first scenario\, a station in Caguas had a precipitation accumulation of 2-inch with low projected streamflow of 500 cubic feet per second (cfs). The second scenario is a station in Naguabo with a 2-inch accumulation measured\, and the projected streamflow was predominantly high at 7000cfs. The last scenario station at Patillas with a buildup of 0.5 inches with projected streamflow of 1800cfs. The main observation in these three scenarios was that the most significant influence on the behavior is the topography around the station and the direction of its downstream flowline. In a station located in a valley\, the model will not predict an immediate response compared to a station with steep topography.
URL:https://www.cessrst.org/event/evaluation-of-flood-forecast-models-in-pr/
CATEGORIES:NOAA Seminar Series,Seminar Series
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DTSTART;TZID=America/New_York:20230621T133000
DTEND;TZID=America/New_York:20230621T140000
DTSTAMP:20260423T114420
CREATED:20230608T184554Z
LAST-MODIFIED:20230620T210838Z
UID:4076-1687354200-1687356000@www.cessrst.org
SUMMARY:NOAA Seminar Series: Understanding the socioeconomic impacts of climate change
DESCRIPTION:Title: Understanding the socioeconomic impacts of climate change \nSpeaker: Selenea Gibson\, NOAA EPP/MSI CESSRST-II Fellow at UMBC \nDate: June 21\, 20223 \nTime: 1:30 PM ET \nVenue: Virtual \nMeeting Link :  meet.google.com/eeu-gete-ueb \nLearn more about the speaker \nAbstract: \nAir quality monitors maintained by the EPA are placed in large metropolitan statistical areas around the United States. The citizen science project\, PurpleAir works to place their monitors in Metropolitan Statistical Areas (MSAs) that the EPA is not covering. When looking at the geographic locations where PurpleAir monitors are placed\, we noticed that they seem to be in Whiter and richer tracts/block groups. Using Baltimore City as our primary focus\, we noticed that the EPA has one monitor and it is located in a highly affluent tracts/block groups outside the city. PurpleAir has multiple monitors placed throughout the city but are co-located to the prominent White L that stretches from Roland Park to Fells Point (Brown 2016). PurpleAir placed their monitors in well-known historical areas within Baltimore City and with the city being majority 62.8% African American\, residents who are BIPOC (Black\, Indigenous\, and People of Color) are less accounted for in the air quality data. The city structure of Baltimore displays racial capitalism and suburban segregation and is a gateway for creating other large metropolitan cites across the United States (Glotzer 2020). Our research question asks whether there is a racial disparity between the PurpleAir monitors and their geographic locations to those who are affluent and those who are BIPOC in Baltimore City. We want to investigate the gap of geographic locations containing the PurpleAir monitors starting with Baltimore City then moving on to the MSAs. To test our hypothesis\, we pulled all of the EPA/PurpleAir air quality monitors using API keys from open sourced websites. Then concentrated on the 2016-2020 5-year ACS survey data from the US Census Bureau and gathered unique fields needed to complete the analysis. Using spatial statistics and GIS software\, we created tables\, maps\, and plots to confirm our hypothesis. Our findings determined that there is a significant median household income and percent BIPOC difference when comparing PurpleAir tracts in MSAs\, especially in the Baltimore City area. We need more EPA and PurpleAir air quality monitors as there is not enough in Baltimore City. PurpleAir monitors are in predominantly Whiter tracts and block groups. For Portland and Seattle MSAs\, there are so many PurpleAir monitors that are measuring the majority of White tracts/block groups that it is skewing the data. Lastly\, we have a scale issue because Seattle and Portland have more PurpleAir monitors compared to Baltimore City and Philadelphia MSAs. We see a high amount of racial capitalism and highly uneven geographies in MSAs such as Portland and Seattle because of this. \n 
URL:https://www.cessrst.org/event/understanding-socio-economic-impacts-of-climate-change/
CATEGORIES:NOAA Seminar Series,Seminar Series
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