rain: Rainfall for US counties during Atlantic basin tropical...

In geanders/hurricaneexposuredata: Data Characterizing Exposure to Hurricanes in United States Counties

Rainfall for US counties during Atlantic basin tropical storms

Description

A dataframe that gives daily rainfall in US counties from five days before to three days after a tropical storm's closest approach to the county. This dataset covers all Atlantic-basin tropical storms between 1988 and 2011 for storms that came within 250 km of at least one US county. Only counties in the eastern half of the US are included.

Usage

rain

Format

A dataframe with 3,040,524 rows and 6 variables:

fips

A character string with the county's 5-digit Federal Information Processing Standard (FIPS) code

storm_id

Unique storm identifier with the storm name and year, separated by a hyphen (e.g., "Alberto-1988", "Katrina-2005"). Some storms are "Unnamed" or have other generic names. In these cases, it may be preferable to identify the storm using the first four characters of their ATCF ID (usa_atcf_id) and the storm season rather than the storm ID (e.g., 'AL13-1988').

usa_atcf_id

Character string with the Automated Tropical Cyclone Forecasting System ID for the storm.

lag

Number of days from date when storm was closest to the county (e.g., 0 indicates the date the storm was closest to the county, -2 indicates two days before the date when the storm was closest to the county)

precip

Average daily precipitation, in millimeters, for NLDAS grid points with the county for the given lag day

precip_max

Maximum daily precipitation, in millimeters, across the NLDAS grid points with the county for the given lag day

Details

This dataset was aggregated from hourly, 1/8 degree gridded data from North America Land Data Assimilation System Phase 2 (NLDAS-2) precipitation data files to generate daily, county-level precipitation measures. The NLDAS-2 data integrates satellite-based and land-based monitoring and applies a land-surface model to create a reanalysis dataset that is spatially and temporally complete across the continental United States. To aggregate to a daily county-level value, we averaged the data at each grid point to generate a daily averaged and then averaged this value across all grid points within a county's boundaries. We used county boundaries based on boundaries at the time of the 1990 US Census. The date-time for each observation at each grid point was converted to local time (not considering Daylight Savings Time) before daily averages were generated for the grid point.

Note

This data set is based on data acquired as part of the mission of NASA-s Earth Science Division and archived and distributed by the Goddard Earth Sciences (GES) Data and Information Services Center (DISC). The county-aggregated daily precipitation values used for this data set are available for download through the Center for Disease Control's Wide-ranging Online Data for Epidemiological Research (WONDER) system (see references).

Author(s)

William Crosson [e-mail], Mohammad Al-Hamdan [e-mail], and Brooke Anderson [e-mail]

References

Al-Hamdan MZ, Crosson WL, Economou SA, Estes MG, Estes SM, Hemmings SN, Kent ST, Puckette M, Quattrochi DA, Rickman DL, Wade GM, McClure LA, 2014. Environmental public health applications using remotely sensed data. Geocarto International 29(1):85-98.

North America Land Data Assimilation System (NLDAS) Daily Precipitation years 1979-2011 on CDC WONDER Online Database, released 2012. http://wonder.cdc.gov/wonder/help/Precipitation.html

Rui H, Mocko D, 2014. README Document for North America Land Data Assimilation System Phase 2 (NLDAS-2) Products. Goddard Earth Sciences Data and Information Services Center.

geanders/hurricaneexposuredata documentation built on May 25, 2022, 5:15 a.m.