Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Mark T. Stoelinga"'
Autor:
Julie K. Lundquist, David D. Turner, Kathleen Lantz, Stan Benjamin, T. Marke, Lisa S. Darby, William J. Shaw, Mark T. Stoelinga, W. Alan Brewer, Robert M. Banta, Harindra J. S. Fernando, James M. Wilczak, Jaymes S. Kenyon, Scott P. Sandberg, Brandi J. McCarty, Yelena L. Pichugina, Justin Sharp, Joseph B. Olson, Sunil Baidar, R. Worsnop
Publikováno v:
Weather and Forecasting.
Complex-terrain locations often have repeatable near-surface wind patterns, such as synoptic gap flows and local thermally forced flows. An example is the Columbia River Valley in east-central Oregon-Washington, a significant wind-energy-generation r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3b968a2923f89fcbd7e41dfcc809cf2
https://doi.org/10.1175/waf-d-21-0012.1
https://doi.org/10.1175/waf-d-21-0012.1
Autor:
Melinda Marquis, W. A. Brewer, Yelena L. Pichugina, Joseph B. Olson, Caroline Draxl, Raghavendra Krishnamurthy, Justin Sharp, Aditya Choukulkar, Jaymes S. Kenyon, Mark T. Stoelinga, H. J. S. Fernando, B. J. McCarty, Sunil Baidar, Timothy A. Bonin, Robert M. Banta
Publikováno v:
Journal of Applied Meteorology and Climatology. 58:1633-1656
Annually and seasonally averaged wind profiles from three Doppler lidars were obtained from sites in the Columbia River basin of east-central Oregon and Washington, a major region of wind-energy production, for the Second Wind Forecast Improvement Pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07fe8ae71c4890282d2f76a6deec5c96
https://doi.org/10.1175/jamc-d-18-0244.1
https://doi.org/10.1175/jamc-d-18-0244.1
Autor:
Laura Bianco, Irina V. Djalalova, James M. Wilczak, Joseph B. Olson, Jaymes S. Kenyon, Aditya Choukulkar, Larry K. Berg, Harindra J. S. Fernando, Eric P. Grimit, Raghavendra Krishnamurthy, Julie K. Lundquist, Paytsar Muradyan, Mikhail Pekour, Yelena Pichugina, Mark T. Stoelinga, David D. Turner
During the second Wind Forecast Improvement Project (WFIP2; Oct 2015–Mar 2017, Columbia River Gorge and Basin area) several improvements to the parameterizations applied in the High Resolution Rapid Refresh (HRRR – 3 km horizontal grid spacing) a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de7dbb0c914b23ded511d9a77e1f1d67
https://doi.org/10.5194/gmd-2019-80
https://doi.org/10.5194/gmd-2019-80
Autor:
Brian C. Ancell, Branko Kosovic, Julie K. Lundquist, Eric P. Grimit, S. Otarola-Bustos, Laura S. Leo, Justin Sharp, Joe Fernando, Pedro A. Jiménez, Raghavendra Krishnamurthy, Mark T. Stoelinga, Keith Barr, James McCaa, Nicholas G. Smith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3150a4d060dd3adc7dfcd212606ffbf1
https://doi.org/10.2172/1606516
https://doi.org/10.2172/1606516
Autor:
Nicola Bodini, Andrew Clifton, Justin Sharp, Yelena L. Pichugina, William J. Shaw, George Scott, Sonia Wharton, Charles N. Long, S. Otarola-Bustos, Laura Bianco, Harindra J. S. Fernando, Joseph B. Olson, Joel Cline, Robert M. Banta, James M. Wilczak, David R. Cook, Duli Chand, Larry K. Berg, Katherine McCaffrey, Caroline Draxl, Aditya Choukulkar, Jim McCaa, Jim Bickford, Kathleen Lantz, Julie K. Lundquist, Laura S. Leo, Raghavendra Krishnamurthy, Melinda Marquis, Paytsar Muradyan, Richard M. Eckman, Timothy A. Bonin, Katja Friedrich, Allen B. White, Mark T. Stoelinga, Irina Djalalova, R. Worsnop
The Second Wind Forecast Improvement Project (WFIP2) is a U.S. Department of Energy (DOE)- and National Oceanic and Atmospheric Administration (NOAA)-funded program, with private-sector and university partners, which aims to improve the accuracy of n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::305722ad81fc8c6d69ab81f27c25d301
http://hdl.handle.net/11585/788464
http://hdl.handle.net/11585/788464
Autor:
William J. Shaw, Brandi J. McCarty, Rochelle Worsnop, Yelena L. Pichugina, Robert M. Banta, Jaymes S. Kenyon, W. Alan Brewer, Julie K. Lundquist, James M. Wilczak, H. J. S. Fernando, Mark T. Stoelinga, Joseph B. Olson, David D. Turner, Larry K. Berg, Laura Bianco, Raj K. Rai, Sunil Baidar, Justin Sharp, C. Draxl, B. Roberts, Sonia Wharton
Publikováno v:
Journal of Renewable and Sustainable Energy. 12:043301
The wind-energy (WE) industry relies on numerical weather prediction (NWP) forecast models as foundational or base models for many purposes, including wind-resource assessment and wind-power forecasting. During the Second Wind Forecast Improvement Pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8b273f394d21123c95fdd3bead81b9a
https://doi.org/10.1063/5.0009138
https://doi.org/10.1063/5.0009138
Autor:
Qing Yang, Mikhail Pekour, Jerome D. Fast, Larry K. Berg, Rob K. Newsom, Catherine Finley, Mark T. Stoelinga
Publikováno v:
Journal of Applied Meteorology and Climatology. 52:1753-1763
One challenge with wind-power forecasts is the accurate prediction of rapid changes in wind speed (ramps). To evaluate the Weather Research and Forecasting (WRF) model's ability to predict such events, model simulations, conducted over an area of com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a85c979623e1533dfee2e05e848397e
https://doi.org/10.1175/jamc-d-12-0267.1
https://doi.org/10.1175/jamc-d-12-0267.1
Publikováno v:
Journal of Climate. 23:2473-2491
This study examines the changes in Cascade Mountain spring snowpack since 1930. Three new time series facilitate this analysis: a water-balance estimate of Cascade snowpack from 1930 to 2007 that extends the observational record 20 years earlier than
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67db232fb99f3440fe00a0271a0e6945
https://doi.org/10.1175/2009jcli2911.1
https://doi.org/10.1175/2009jcli2911.1
Autor:
Ben Livneh, John M. Wallace, Joseph H. Casola, Mark T. Stoelinga, Dennis P. Lettenmaier, Lan Cuo, Philip W. Mote
Publikováno v:
Journal of Climate. 22:2758-2772
The decrease in mountain snowpack associated with global warming is difficult to estimate in the presence of the large year-to-year natural variability in observations of snow-water equivalent (SWE). A more robust approach for inferring the impacts o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c43f47c628f96756ef420bb229b54c5f
https://doi.org/10.1175/2008jcli2612.1
https://doi.org/10.1175/2008jcli2612.1
Publikováno v:
Journal of the Atmospheric Sciences. 65:1087-1092
Previous model simulations indicate that in stratiform precipitation, the precipitation rate can increase by 7% in the melting layer through direct condensation onto melting snow and the resultant cooled rain. In the present study, a model simulation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::133f1cdbefc71534a5390d334029c48c
https://doi.org/10.1175/2007jas2247.1
https://doi.org/10.1175/2007jas2247.1