Climate Data for the Mid-Atlantic Region

ChesWx Historical Climate Datasets (EXPERIMENTAL)

climate normals


The ChesWx gridded climate datasets contain daily interpolations of precipitation and temperature observations for the Chesapeake Bay watershed, as well as the broader Mid-Atlantic and surrounding regions. Data are available from 1948 to 2015 at 4-km spatial resolution. The precipitation dataset uses a unique interpolation approach based on machine learning and geostatistical methods to create improved representations of precipitation frequency and areal daily intensity. Before interpolation, all input station observations of precipitation are homogenized to ensure temporal consistency and interstation data compatibility. The temperature dataset includes daily minimum and maximum temperature from the Penn State TopoWx conterminous U.S. gridded temperature product. TopoWx provides gridded temperature estimates that accurately capture both (1) locally relevant topoclimate spatial patterns; and (2) regional climate variability and trends.


An updated version of the experimental precipitation was released 14 August 2017.

field file size format
precipitation 4.3 GB NetCDF
minimum temperature 4.3 GB NetCDF
maximum temperature 4.3 GB NetCDF

Note that this is an EXPERIMENTAL PRE-RELEASE version. A formal release is targeted for Summer 2017 following further testing and validation.


This dataset was developed by Jared Oyler and Robert Nicholas with support from National Oceanic and Atmospheric Administration (NOAA) through the Mid-Atlantic Regional Integrated Sciences and Assessments (MARISA) under NOAA grant NA16OAR4310179 and from the National Science Foundation (NSF) through the Network for Sustainable Climate Risk Management (SCRiM) under NSF cooperative agreement GEO-1240507.

Other Climate Data Products

Listed below are several other gridded observational temperature and precipitation products, each cropped to the ChesWx domain.

Daymet version 3

field file size format
precipitation 1.0 GB NetCDF
minimum temperature 1.9 GB NetCDF
maximum temperature 1.7 GB NetCDF

Thornton, P.E., S.W. Running, and M.A. White. 1997. Generating surfaces of daily meteorological variables over large regions of complex terrain. Journal of Hydrology 190, 214-251, doi:10.1016/S0022-1694(96)03128-9.


field file size format
precipitation 1.8 GB NetCDF
minimum temperature 1.8 GB NetCDF
maximum temperature 1.8 GB NetCDF

Livneh B., T.J. Bohn, D.S. Pierce, F. Munoz-Ariola, B. Nijssen, R. Vose, D. Cayan, and L.D. Brekke, 2015: A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and southern Canada 1950-2013, Nature Scientific Data, 5:150042, doi:10.1038/sdata.2015.42.

University of Idaho METDATA

field file size format
precipitation 2.4 GB NetCDF
minimum temperature 2.4 GB NetCDF
maximum temperature 2.4 GB NetCDF

Abatzoglou, J. T., 2013: Development of gridded surface meteorological data for ecological applications and modelling. International Journal of Climatology, 33, 121–131, doi:10.1002/joc.3413.


field file size format
precipitation 256 MB NetCDF
minimum temperature 256 MB NetCDF
maximum temperature 256 MB NetCDF

Vose, Russell S., Applequist, Scott, Squires, Mike, Durre, Imke, Menne, Matthew J., Williams, Claude N. Jr., Fenimore, Chris, Gleason, Karin, and Arndt, Derek, 2014: Gridded 5km GHCN-Daily Temperature and Precipitation Dataset (nCLIMGRID), Version 1. NOAA National Centers for Environmental Information. doi:10.7289/V5SX6B56.


field file size format
precipitation 2.2 GB NetCDF
minimum temperature 2.2 GB NetCDF
maximum temperature 2.2 GB NetCDF

Daly, C., R.P. Neilson, and D.L. Phillips. 1994: A statistical-topographic model for mapping climatological precipitation over mountainous terrain. Journal of Applied Meteorology, 33, 140-158, doi:10.1175/1520-0450(1994)033<0140:ASTMFM>2.0.CO;2.