Data

Data in recent publications

These are links to datasets in our group's publications since 2015. The publicly available websites are shown in italicized font. The public data processed and provided by authors is shown in normal font. The datasets either generated by a paper or provided by our group are shown in bold font.

2019

Cao, Q., E.A. Clark, Y. Mao and D.P. Lettenmaier, 2019: Trends and interannual variability in terrestrial water storage over the eastern United States, 2003-2016, Water Resources Research, 55, DOI:10.1029/2018WR023278. (early view online)

Monthly soil moisture anomaliessimulated by ensemble LSMs (Jan 2002-Mar 2017)

Eldardiry, H., A. Mahmood, X. Chen, F. Hossain, B. Nijssen and D.P. Lettenmaier, 2019: Atmospheric River-Induced Precipitation and Snowpack during the Western United States Cold Season, Journal of Hydrometeorology, DOI:10.1175/JHM-D-18-0228.1.

NCEP/NCAR AR catalog

WRF downscaled reanalysis data (INVALID LINK)

Huning, L. S., B. Guan, D. E. Waliser, and D. P. Lettenmaier, 2019: Sensitivity of seasonal snowfall attribution to atmospheric rivers and their reanalysis‐based detection, Geophysical Research Letters, 46. DOI:10.1029/2018GL080783.

NCEP/NCAR AR catalog

Snow reanalysis data

Mishra V., A.D. Tiwari, R. Shah, M. Xiao, D.S. Pai and D.P. Lettenmaier, 2019: Drought and famine in India, 1870-2016, Geophysical Research Letters, DOI:10.1029/2018GL081477.

IMD

20th Century Reanalysis

Berkeley‐Earth

2018

Dominguez F., S. Dall'erba, S. Huang, A. Avelino, A. Mehran, H. Hu, A. Schmidt, L. Schick, and D. P. Lettenmaier, 2018:Tracking an Atmospheric River in a Warmer Climate: from Water Vapor to Economic Impacts, Earth System Dynamics,DOI:10.5194/esd-9-249-2018.

ERA-Interim data

Precipitation from NOAA Cooperative Observer (COOP) stations

USGS streamflow observations

HAZUS model

IMPLAN

Frans, C., E. Istanbulluoglu, D.P. Lettenmaier, A.G. Fountain, and J. Riedel, 2018: Glacier recession and the response of summer streamflow in the Pacific Northwest United States, 1960–2099, Water Resources Research, 54. DOI:10.1029/2017WR021764.

Glacio-hydrological model data

Mote, P.W., S. Li, D.P. Lettenmaier, M. Xiao, and R. Engel, 2018: Dramatic declines in snowpack in the western U.S., NPJ Climate and Atmospheric Science, DOI:10.1038/s41612-018-0012-1

All data presented in this manuscript (e.g. Station SWE and VIC SWE)

Xiao M., B. Udall, and D.P. Lettenmaier, 2018: On the Causes of Declining Colorado River Streamflow, Water Resources Research, DOI:10.1029/2018WR023153.

VIC simulation in the Colorado River Basin over 1915-2016

2017

Cannon, F., F. M. Ralph, A. M.Wilson, and D. P. Lettenmaier, 2017: GPM satellite radar measurements of precipitation and freezing level in atmospheric rivers: Comparison with ground-based radars and reanalyses. Journal of Geophysical Research: Atmospheres, DOI:10.1002/2017JD027355.

Radar profiler data

PRISM

Cao, Q., T.H. Painter, W.R. Currier, J.D. Lundquist, and D.P. Lettenmaier, 2017: Estimation of precipitation over the OLYMPEX domain during winter 2015-2016, Journal of Hydrometeorology, DOI:10.1175/JHM-D-17-0076.1.

GPM Ground Validation Daily Precipitation OLYMPEX, DOI:10.5067/GPMGV/OLYMPEX/MULTIPLE/DATA301

Khandelwal, A., Karpatne, A., Marlier, M.E., Kim, J., Lettenmaier, D.P., and V. Kumar, 2016:An approach for global monitoring of surface water extent variations using MODIS data. Remote Sensing of Environment, DOI: j.rse.2017.05.039.

Lake products from the USDA/NASA G-REALM program

Li, D., M.L. Wrzesien, M. Durand, J. Adam, and D.P. Lettenmaier, 2017: How much runoff originates as snow in the western United States and how will that change in the future?, Geophysical Research Letters, DOI:10.1002/2017GL073551.

VIC model output used for the tracking

Marlier, M.E., M. Xiao, R. Engel, B. Livneh, J.T. Abatzoglou, and D.P. Lettenmaier, 2017: The 2015 drought in Washington State: A harbinger of things to come?, Environmental Research Letters, DOI:10.1088/1748-9326/aa8fde.

Integrated Scenarios of the Future Northwest Environment

Mehran, A., E.A. Clark, D. P. Lettenmaier, 2017: Spatial variability of wet troposphere delays over inland water bodies, Journal of Geophysical Research, DOI: 10.1002/2017JD026525.

NCEI wind data

Reservoirdaily elevation and volume

USGS reservoir in situ observations

Wanders N., A. Bachas, X.G. He, H. Huang, A. Koppa, Z.T. Mekonnen, B.R. Pagán, L.Q. Peng, N. Vergopolan, K.J. Wang, M. Xiao, S. Zhan, D.P Lettenmaier and E.F. Wood, 2016: Forecasting the hydroclimatic signature of the 2015-16 El Niño event on the western U.S., Journal of Hydrometeorology, DOI: 10.1175/JHM-D-16-0230.1.

Station observations

UCLA Drought Monitoring System for the West US

NMME forecasts

Wang, K. J., A. P. Williams, D. P. Lettenmaier, 2016: How much have California winters warmed over the last century?, Geophysical Research Letters, DOI: 10.1002/2017GL075002

VOSE dataset

PRISM dataset

Berkeley Earth Surface Temperature (BEST) dataset

Oyler et al. dataset

Regridded monthly BEST data for California in 1/24 degree resolution

UCLA Drought Monitoring System dataset

Xiao, M., A. Koppa, Z. Mekonnen, B. Pagán, S. Zhan, Q. Cao, A. Erkin, H. Lee, and D.P. Lettenmaier, 2017: How much groundwater did California’s Central Valley lose during the 2012-2016 drought?, Geophysical Research Letters, DOI: 10.1002/2017GL073333.

Monthly data used in this study

2015

Clark, E.A., J. Sheffield, M.T.H. van Vliet, B. Nijssen, and D. P. Lettenmaier, 2015: Continental runoff into the oceans (1950-2008), Journal of Hydrometeorology, 16, 1502-1520, doi:10.1175/JHM-D-14-0183.1.

Global Flow data from this study

Additional data

Links to data libraries and information about processing various data sets can be found at the UW Land Surface Hydrology data page. This page will be updated when data generated at UCLA become available.