Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Laura M. Hinkelman"'
Autor:
Laura M. Hinkelman, Roger Marchand
Publikováno v:
Earth and Space Science, Vol 7, Iss 9, Pp n/a-n/a (2020)
Abstract Many studies involving surface radiative fluxes rely on surface fluxes retrieved by the Clouds and the Earth's Radiant Energy System (CERES) project or derived from spaceborne cloud radar and lidar observations (CloudSat‐CALIPSO). In parti
Externí odkaz:
https://doaj.org/article/d60bc87dce004545bba51283f2d74189
Autor:
Laura M. Hinkelman
Publikováno v:
Journal of Climate. 32:1973-1994
The representation of the long-term radiative energy budgets in NASA’s MERRA and MERRA-2 reanalyses has been evaluated, emphasizing changes associated with the reanalysis system update. Data from the CERES EBAF Edition 2.8 satellite product over 20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1a8481849efb28f89e948b34c789b3b
https://doi.org/10.1175/jcli-d-18-0445.1
https://doi.org/10.1175/jcli-d-18-0445.1
Autor:
Roger Marchand, Laura M. Hinkelman
Many studies involving surface radiative fluxes rely on surface fluxes retrieved by the Clouds and the Earth’s Radiant Energy System (CERES) project, or derived from spaceborne cloud radar an...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9c35b73f9313be7b1223b9a9267e29d
https://doi.org/10.1002/essoar.10502814.1
https://doi.org/10.1002/essoar.10502814.1
Publikováno v:
Journal of Geophysical Research: Atmospheres. 123:7238-7253
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32a935b06d9468bba9b83debda8cdd35
https://doi.org/10.1029/2018jd028805
https://doi.org/10.1029/2018jd028805
Autor:
James Cowie, Tyler McCandless, Laura M. Hinkelman, Paul Kalb, Tara Jensen, Matthew A. Rogers, Sue Ellen Haupt, Yu Xie, Manajit Sengupta, Jared A. Lee, Jeffrey K. Lazo, Branko Kosovic, Pedro A. Jiménez, Gerry Wiener, Steven D. Miller, John Heiser
Publikováno v:
Bulletin of the American Meteorological Society. 99:121-136
As integration of solar power into the national electric grid rapidly increases, it becomes imperative to improve forecasting of this highly variable renewable resource. Thus, a team of researchers from the public, private, and academic sectors partn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e4f03198e4f2a2f3764cd51f2bacd64
https://doi.org/10.1175/bams-d-16-0221.1
https://doi.org/10.1175/bams-d-16-0221.1
Autor:
Laura M. Hinkelman, Nevin Schaeffer
Publikováno v:
Solar Energy. 157:966-978
The spatiotemporal variability of the solar resource has implications for every stage in the development and operation of a photovoltaic power plant from siting and design through grid integration and day-to-day operation. The irregular and relativel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff1ad9027cfde26e3b01553067073371
https://doi.org/10.1016/j.solener.2017.07.060
https://doi.org/10.1016/j.solener.2017.07.060
Publikováno v:
Solar Energy. 143:10-21
This paper presents a method for generating correlated instantaneous solar irradiance data for an arbitrary set of spatially dispersed locations. Based on the empirical clear-sky index distribution for one location and the cross-correlation between c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c24111da44e81b099086aeadbe54a85
https://doi.org/10.1016/j.solener.2016.12.022
https://doi.org/10.1016/j.solener.2016.12.022
Publikováno v:
Journal of Geophysical Research: Atmospheres. 122:299-317
Studies of land surface processes in complex terrain often require estimates of meteorological variables, i.e., the incoming solar irradiance (Qsi), to force land surface models. However, estimates of Qsi are rarely evaluated within mountainous envir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce0ab2c2e2f343999bb57666d1f8b665
https://doi.org/10.1002/2016jd025527
https://doi.org/10.1002/2016jd025527
Publikováno v:
Journal of Applied Meteorology and Climatology. 55:1599-1613
This paper describes the development and testing of a cloud-regime-dependent short-range solar irradiance forecasting system for predictions of 15-min-average clearness index (global horizontal irradiance). This regime-dependent artificial neural net
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67ba3aa15f5070d52a7b5861426a18b6
https://doi.org/10.1175/jamc-d-15-0354.1
https://doi.org/10.1175/jamc-d-15-0354.1