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Akademický článek

The potential for uncertainty in Numerical Weather Prediction model verification when using solid precipitation observations

Autor: Samuel T. Buisán, Craig D. Smith, Amber Ross, John Kochendorfer, José Luís Collado, Javier Alastrué, Mareile Wolff, Yves‐Alain Roulet, Michael E. Earle, Timo Laine, Roy Rasmussen, Rodica Nitu

Publikováno v: Atmospheric Science Letters, Vol 21, Iss 7, Pp n/a-n/a (2020)

Abstract Precipitation forecasts made by Numerical Weather Prediction (NWP) models are typically verified using precipitation gauge observations that are often prone to the wind‐induced undercatch of solid precipitation. Therefore, apparent model b

Externí odkaz: https://doaj.org/article/0fe86210000247c9996525fb02894bb4

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The hourly wind-bias-adjusted precipitation data set from the Environment and Climate Change Canada automated surface observation network (2001–2019)

Autor: Craig D. Smith, Eva Mekis, Megan Hartwell, Amber Ross

The measurement of precipitation in the Environment and Climate Change Canada (ECCC) surface network is a crucial component for climate and weather monitoring, flood and water resource forecasting, numerical weather prediction, and many other applica

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f596ea2e0df09727a735e73381ba3e07
https://essd.copernicus.org/articles/14/5253/2022/

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The Environment and Climate Change Canada solid precipitation intercomparison data from Bratt's Lake and Caribou Creek, Saskatchewan

Autor: Daqing Yang, Alan G. Barr, Craig D. Smith, Amber Ross

Publikováno v: Earth System Science Data, Vol 11, Pp 1337-1347 (2019)

Prior to the beginning of the World Meteorological Organization's (WMO) Solid Precipitation Inter-Comparison Experiment (SPICE, 2013–2015), two precipitation measurement intercomparison sites were established in Saskatchewan to help assess the syst

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e791fd59812718a48c1232540cc83c78
https://www.earth-syst-sci-data.net/11/1337/2019/essd-11-1337-2019.pdf

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The potential for uncertainty in Numerical Weather Prediction model verification when using solid precipitation observations

Autor: José Luis Collado, Roy Rasmussen, Craig D. Smith, Javier Alastrué, Samuel Buisán, Mareile Wolff, Timo Laine, Michael E. Earle, John Kochendorfer, Yves-Alain Roulet, Amber Ross, Rodica Nitu

Publikováno v: Atmospheric Science Letters, Vol 21, Iss 7, Pp n/a-n/a (2020)

Precipitation forecasts made by Numerical Weather Prediction (NWP) models are typically verified using precipitation gauge observations that are often prone to the wind‐induced undercatch of solid precipitation. Therefore, apparent model biases in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07a3721a561faddc1027347510f221dd
https://doi.org/10.1002/asl.976

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Destabilizing the knowledge argument and modal argument

Autor: Amber Ross

Publikováno v: Inquiry. 61:499-519

Several of the most compelling anti-materialist arguments are motivated by the supposed existence of an unbridgeable epistemic gap between first-person subjective knowledge about one’s own conscious experience and third-personally acquired knowledg

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aec55e3016776759f88c2a964a71309f
https://doi.org/10.1080/0020174x.2017.1385530

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Evaluation of the WMO-SPICE transfer functions for adjusting the wind bias in solid precipitation measurements

Autor: Timo Laine, Yves-Alain Roulet, Michael E. Earle, Amber Ross, Samuel Buisán, Mareile Wolff, John Kochendorfer, Craig D. Smith

The World Meteorological Organization (WMO) Solid Precipitation Inter-Comparison Experiment (SPICE) involved extensive field intercomparisons of automated instruments for measuring snow during the 2013/2014 and 2014/2015 winter seasons. A key outcome

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e8d11c0f96ccf0672c7a0ccabd6bafba
https://doi.org/10.5194/hess-2019-313

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