all edu.ucar.rda GRID NetCDF Freely Available Most datasets of surface meteorology are deterministic, yet many applications using these datasets require or can benefit from uncertainty estimates in meteorological fields. Motivated by this gap, we applied a locally-weighted spatial regression technique with the widely-used North American Land Data Assimilation version 2 (NLDAS-2) dataset values to generate ensemble estimates for daily precipitation, daily mean temperature, and diurnal temperature range. The approach is a form of ensemble dressing. This uncertainty dataset and methods from this work are made publicly available to support research such a data assimilation or model uncertainty studies. The dataset includes a 100-member ensemble for daily precipitation, temperature and diurnal temperature range at 1/8th degree for the NLDAS-2 domain (25 to 53 North, 125 to 67 West), for the time period 1979-2019. It also includes the spatial regression coefficients and other inputs needed to run the Gridded Meteorological Ensemble Tool (GMET) used to generate the ensembles. A limited number of summary statistical analyses of the dataset are also included. UCAR/NCAR/CGD UCAR/NCAR/RAL/HAP USASK/HYDROLOGY NCAR/RDA 5.406 2021-05-14T21:40:33.301Z 1.167 2021-08-11T21:22:18.641Z 1.169 2021-08-11T21:22:22.317Z 1.164 2021-08-11T21:22:26.135Z 1.185 2021-08-11T21:22:29.935Z 1.186 2021-08-11T21:22:33.666Z 1.186 2021-08-11T21:22:37.393Z 1.185 2021-08-11T21:22:41.128Z 1.178 2021-08-11T21:22:44.783Z 1.175 2021-08-11T21:22:48.621Z 1.164 2021-08-11T21:22:52.238Z 1.160 2021-08-11T21:22:55.942Z 1.172 2021-08-11T21:22:59.594Z 1.169 2021-08-11T21:23:03.280Z 1.186 2021-08-11T21:23:06.962Z 1.184 2021-08-11T21:23:10.682Z 1.186 2021-08-11T21:23:14.614Z 1.188 2021-08-11T21:23:18.324Z 1.206 2021-08-11T21:23:21.947Z 1.226 2021-08-11T21:23:25.891Z 1.224 2021-08-11T21:23:29.673Z 1.187 2021-08-11T21:23:33.500Z 1.209 2021-08-11T21:23:39.847Z 1.198 2021-08-11T21:23:43.548Z 1.183 2021-08-11T21:23:47.546Z 1.183 2021-08-11T21:23:51.030Z 1.196 2021-08-11T21:23:54.770Z 1.185 2021-08-11T21:23:58.508Z 1.179 2021-08-11T21:24:02.059Z 1.188 2021-08-11T21:24:05.675Z 1.180 2021-08-11T21:24:09.272Z 1.169 2021-08-11T21:24:12.935Z 1.173 2021-08-11T21:24:16.529Z 1.167 2021-08-11T21:24:21.503Z 1.165 2021-08-11T21:24:25.165Z 1.170 2021-08-11T21:24:28.637Z 1.167 2021-08-11T21:24:32.234Z 1.176 2021-08-11T21:24:35.884Z 1.169 2021-08-11T21:24:39.602Z 1.167 2021-08-11T21:24:43.102Z 1.168 2021-08-11T21:24:46.550Z 1.179 2021-08-11T21:24:50.198Z