Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Mimi Hughes"'
Autor:
Engela Sthapit, Tarendra Lakhankar, Mimi Hughes, Reza Khanbilvardi, Robert Cifelli, Kelly Mahoney, William Ryan Currier, Francesca Viterbo, Arezoo Rafieeinasab
Publikováno v:
Water, Vol 14, Iss 14, p 2145 (2022)
Snow influences land–atmosphere interactions in snow-dominated areas, and snow melt contributes to basin streamflows. However, estimating snowpack properties such as the snow depth (SD) and snow water equivalent (SWE) from land surface model simula
Externí odkaz:
https://doaj.org/article/11d5c0e33c7747c5992ac7c008f345fa
Autor:
Hailan Wang, Li Xu, Mimi Hughes, Muthuvel Chelliah, David G DeWitt, Brian A Fuchs, Darren L Jackson
Publikováno v:
Environmental Research Letters, Vol 17, Iss 1, p 014011 (2021)
The US drought monitor (USDM) has been widely used as an observational reference for evaluating land surface model (LSM) simulation of drought. This study investigates potential caveats in such evaluation when the USDM and LSMs use different base per
Externí odkaz:
https://doaj.org/article/f90eab8b8ff5417d850b9d0cef5a723c
Autor:
Francesca Viterbo, Laura Read, Kenneth Nowak, Andrew W. Wood, David Gochis, Robert Cifelli, Mimi Hughes
Publikováno v:
Water, Vol 12, Iss 10, p 2897 (2020)
This work investigates the utility of the National Oceanic and Atmospheric Administration’s National Water Model (NWM) for water management operations by assessing the total inflow into a select number of reservoirs across the Central and Western U
Externí odkaz:
https://doaj.org/article/39cc746070814ca2a73dd7b63bad74e6
Autor:
Kelly Mahoney, James D. Scott, Michael A. Alexander, Rachel McCrary, Robert Cifelli, Melissa Bukovsky, Dustin Swales, Mimi Hughes
Publikováno v:
Climate Dynamics. 59:973-995
Western U.S. (WUS) rainfall and snowpack vary greatly on interannual and decadal timescales. This combined with their importance to water resources makes future projections of these variables highly societally relevant. Previous studies have shown th
Publikováno v:
Weather and Forecasting. 37:45-64
Accurate quantitative precipitation estimates (QPEs) at high spatial and temporal resolution are difficult to obtain in regions of complex terrain due to the large spatial heterogeneity of orographically enhanced precipitation, sparsity of gauges, pr
Autor:
Michael A. Alexander, James D. Scott, Kelly Mahoney, Melissa Bukovsky, Mimi Hughes, Dustin Swales, Rachel McCrary
Publikováno v:
Climate Dynamics. 56:3081-3102
Understanding future precipitation changes is critical for water supply and flood risk applications in the western United States. The North American COordinated Regional Downscaling EXperiment (NA-CORDEX) matrix of global and regional climate models
Autor:
J. Dale, J. Gerth, B. Brown, James L. Zdrojewski, Robert S. Webb, S. Baxter, C. Draper, Margaret M. Hurwitz, J. Carman, C. Olheiser, Mimi Hughes, Sarah B. Kapnick, M. Olsen, F. Horsfall, C. Stachelski, M. Vincent
Publikováno v:
Bulletin of the American Meteorological Society. 101:E2025-E2029
Our goal here is to answer the question, “what drives the demand side of drought?” We achieve this by decomposing atmospheric evaporative demand (Eo) anomalies during periods of drought into contributions from all of its drivers, using the US Mid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27588f4f68b91d7bf2c815d24b4eac79
https://doi.org/10.5194/egusphere-egu22-13137
https://doi.org/10.5194/egusphere-egu22-13137
Publikováno v:
Journal of Hydrometeorology. 21:865-879
The Bay Area of California and surrounding region receives much of its annual precipitation during the October–March wet season, when atmospheric river events bring periods of heavy rain that challenge water managers and may exceed the capacity of
Publikováno v:
Bulletin of the American Meteorological Society. 100:2473-2490
In mountain terrain, well-configured high-resolution atmospheric models are able to simulate total annual rain and snowfall better than spatial estimates derived from in situ observational networks of precipitation gauges, and significantly better th