Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Kenneth W. Harrison"'
Autor:
Yudong Tian, Steven Weijs, Grey Nearing, Martyn P. Clark, Kenneth W. Harrison, Hoshin V. Gupta
Publikováno v:
Hydrological Sciences Journal. 61:1666-1678
Uncertainty is an epistemological concept in the sense that any meaningful understanding of uncertainty requires a theory of knowledge. Therefore, uncertainty resulting from scientific endeavors can only be properly understood in the context of a wel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::261202b303021754f6e16aea1bbfdba5
https://doi.org/10.1080/02626667.2016.1183009
https://doi.org/10.1080/02626667.2016.1183009
Publikováno v:
Monthly Weather Review. 144:607-613
A common set of statistical metrics has been used to summarize the performance of models or measurements—the most widely used ones being bias, mean square error, and linear correlation coefficient. They assume linear, additive, Gaussian errors, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0850795415f87e58d2ec8f04bbfb71d
https://doi.org/10.1175/mwr-d-15-0087.1
https://doi.org/10.1175/mwr-d-15-0087.1
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 54:1103-1117
Better estimation of land surface microwave emissivity (MWE) promises to improve overland precipitation retrievals in the Global Precipitation Measurement era. Forward models of land MWE are available but have suffered from poor parameter specificati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3b8b05ef9e3854083c2b88da4b5a580
https://doi.org/10.1109/tgrs.2015.2474120
https://doi.org/10.1109/tgrs.2015.2474120
Autor:
Joseph A. Santanello, Christa D. Peters-Lidard, Kenneth W. Harrison, Sujay V. Kumar, Michael Shaw, Yuqiong Liu
Publikováno v:
Geoscientific Model Development, Vol 5, Iss 3, Pp 869-886 (2012)
Model evaluation and verification are key in improving the usage and applicability of simulation models for real-world applications. In this article, the development and capabilities of a formal system for land surface model evaluation called the Lan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::436b3278ae66e4a2c08ee90c985bb027
https://www.geosci-model-dev.net/5/869/2012/
https://www.geosci-model-dev.net/5/869/2012/
Autor:
Christa D. Peters-Lidard, Kenneth W. Harrison, Sujay V. Kumar, Joseph A. Santanello, Dalia Kirschbaum
Publikováno v:
Journal of Hydrometeorology. 15:2140-2156
Observing system simulation experiments (OSSEs) are often conducted to evaluate the worth of existing data and data yet to be collected from proposed new missions. As missions increasingly require a broader “Earth systems” focus, it is important
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cf2b2d8596a256cfcb6709360b4fefc
https://doi.org/10.1175/jhm-d-13-0204.1
https://doi.org/10.1175/jhm-d-13-0204.1
Autor:
Christian D. Kummerow, Christa D. Peters-Lidard, Sarah Ringerud, Yudong Tian, Kenneth W. Harrison
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 52:2395-2412
An accurate understanding of land surface emissivity in terms of associated surface properties is necessary for improved passive microwave remote sensing of the atmosphere, including water vapor, clouds, and precipitation, over land. In an effort to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aeb72a039ec65e4896b25342ab629d42
https://doi.org/10.1109/tgrs.2013.2260759
https://doi.org/10.1109/tgrs.2013.2260759
Autor:
Hirohiko Masunaga, Yudong Tian, Kenneth W. Harrison, Filipe Aires, Fumie A. Furuzawa, Catherine Prigent, Christa D. Peters-Lidard, Hamidreza Norouzi, Sid-Ahmed Boukabara
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 52:829-840
Uncertainties in the retrievals of microwave land-surface emissivities are quantified over two types of land surfaces: desert and tropical rainforest. Retrievals from satellite-based microwave imagers, including the Special Sensor Microwave Imager, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36367a2f41288b93d6903e79e39ec4f8
https://doi.org/10.1109/tgrs.2013.2244214
https://doi.org/10.1109/tgrs.2013.2244214
Autor:
Hui Wang, Kenneth W. Harrison
Publikováno v:
Journal of Water Resources Planning and Management. 140:3-11
There are multiple sources of uncertainties in urban water-distribution systems, e.g., nodal water demand and sensor measurement error. All of these uncertainties increase the complexity of contaminant source identification in a sparse sensor network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92f4435a04cb6679cb826dcab83459c2
https://doi.org/10.1061/(asce)wr.1943-5452.0000323
https://doi.org/10.1061/(asce)wr.1943-5452.0000323
Autor:
Christa D. Peters-Lidard, Sujay V. Kumar, Joseph A. Santanello, Kenneth W. Harrison, Shujia Zhou
Publikováno v:
Journal of Hydrometeorology. 14:1373-1400
Land–atmosphere (LA) interactions play a critical role in determining the diurnal evolution of both planetary boundary layer (PBL) and land surface heat and moisture budgets, as well as controlling feedbacks with clouds and precipitation that lead
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1136dc7f5d5a279678a69b4338c17aff
https://doi.org/10.1175/jhm-d-12-0127.1
https://doi.org/10.1175/jhm-d-12-0127.1
Autor:
Hui Wang, Kenneth W. Harrison
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 27:1921-1928
Bayesian analysis can yield a probabilistic contaminant source characterization conditioned on available sensor data and accounting for system stochastic processes. This paper is based on a previously proposed Markov chain Monte Carlo (MCMC) approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8199755d1d9e3d0ba5d95cfa957b3bfa
https://doi.org/10.1007/s00477-013-0727-9
https://doi.org/10.1007/s00477-013-0727-9