Dataset Available

Metocean and climate information input to the Disaster Impact Estimation Prediction model

Authors: Retchless, David, Yalong Pi, and Jennifer Avila

Published On: May 28 2025 15:10 UTC

DOI: https://doi.org/10.7266/n90stx2y

UDI: O1.x158.000:0005

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Project Information

Funded By:
Texas OneGulf

Funding Cycle:
Texas OneGulf 2023

Research Group:
Towards Targeted Risk Mitigation: Community Engaged, Fast Impact Estimation of Extreme Weather using Big Social and Climate Data

Point of Contact

Yalong Pi
Texas A&M University
piyalong@tamu.edu

Data Collection Period

2017-08-23

2024-07-09

Theme keywords

weather, climate, hurricane, tropical storms, tropical weather events, Texas tropical storms, Hurricane Harvey, Hurricane Beryl, Hurricane Laura, Tropical Storm Imelda, Disaster Impact Estimation Prediction model, historical climate variables, wind speed, precipitation, air temperature, storm conditions

ISO 19115-2 Metadata

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Abstract:

National Centers for Environmental Information (NCEI) collect data at weather/climate stations, from radars, weather balloons, moored buoys in the ocean, ships, airplanes, satellites, and from computer models. Data provided are for tropical weather events (hurricanes and tropical storms) associated with FEMA-declared disasters in Texas from 2017-2024. NCEI data were provided for coastal NOAA climate divisions in Texas (East 4804, Texas Lower Valley 4810, Texas South Central 4807, Texas Southern 4809, Texas Upper Coast 4808). Data was input into the Disaster Impact Estimation Prediction model, which relates historical climate and disaster impact statistics with geo-tagged social media posts to predict disaster and financial impacts. Associated datasets are O1.x158:000:0001 (https://doi.org/10.7266/re20k34s, stakeholder survey assessment), O1.x158:000:0002 (model GUI and code), O1.x158:000:0003 (https://doi.org/10.7266/9eb44a2x, curated social media data), and O1.x158.000:0004 (https://doi.org/10.7266/t7mtn8m6, FEMA disaster impact statistics).

Suggested Citation:

Retchless, David, Yalong Pi, and Jennifer Avila. 2025. Metocean and climate information input to the Disaster Impact Estimation Prediction model. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/n90stx2y

Purpose:

Data was collected to use as input for Disaster Impact Estimation Prediction model, to improve accuracy of model estimates of disaster-impacted locations.

Data Parameters and Units:

STATION (unique alphanumeric station code), NAME (text describing station location), LATITUDE (geographic coordinate in decimal degrees), LONGITUDE (geographic coordinate in decimal degrees), ELEVATION (station elevation in ft), DATE (month/day/year), AWND (average daily wind speed, number), PRCP (precipitation, number), TAVG (average of hourly values, number), TMAX (highest hourly temperature, number), TMIN (lowest hourly temperature, number), WSF2 (fastest 2-minute wind speed, number), WSF5 (fastest 5-second wind speed, number).

Methods:

Daily summary data were collected from https://www.ncei.noaa.gov/cdo-web/search for the dates associated with the following FEMA-declared disasters: HURRICANE BERYL 2024-07-05T00:00:00.000Z 2024-07-09T00:00:00.000Z HURRICANE LAURA 2020-08-23T00:00:00.000Z 2020-08-27T00:00:00.000Z HURRICANE HARVEY 2017-08-23T00:00:00.000Z 2017-09-15T00:00:00.000Z TROPICAL STORM IMELDA 2019-09-17T00:00:00.000Z 2019-09-23T00:00:00.000Z Geographic scope was limited to coastal NOAA climate divisions in Texas (East 4804, Texas Lower Valley 4810, Texas South Central 4807, Texas Southern 4809, Texas Upper Coast 4808).