Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Seyedeh Atefeh Mohammadi"'
Publikováno v:
Meteorological Applications, Vol 28, Iss 1, Pp n/a-n/a (2021)
Abstract The main approach to probabilistic weather forecasting has been the use of ensemble forecasting. In ensemble forecasting, the probability information is generally derived by using several numerical model runs, with perturbation of the initia
Externí odkaz:
https://doaj.org/article/309f63381f7c4957b9476dc4b125d342
Publikováno v:
Decision Science Letters, Vol 4, Iss 3, Pp 373-378 (2015)
Weather forecast has been a major concern in various industries such as agriculture, aviation, maritime, tourism, transportation, etc. A good weather prediction may reduce natural disasters and unexpected events. This paper presents an empirical inve
Externí odkaz:
https://doaj.org/article/25eeac0bfd2b44c6b0c7661a48b4f395
Publikováno v:
Meteorological Applications, Vol 28, Iss 1, Pp n/a-n/a (2021)
The main approach to probabilistic weather forecasting has been the use of ensemble forecasting. In ensemble forecasting, the probability information is generally derived by using several numerical model runs, with perturbation of the initial conditi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::740cf730bc9e153dbe55fdbc64f48e11
https://doaj.org/article/309f63381f7c4957b9476dc4b125d342
https://doaj.org/article/309f63381f7c4957b9476dc4b125d342
Publikováno v:
Journal of Meteorological Research. 31:791-799
All numerical weather prediction (NWP) models inherently have substantial biases, especially in the forecast of near-surface weather variables. Statistical methods can be used to remove the systematic error based on historical bias data at observatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d1a48a4111c26fef5e943f37c59c0d6
https://doi.org/10.1007/s13351-017-6135-1
https://doi.org/10.1007/s13351-017-6135-1
Publikováno v:
Meteorology and Atmospheric Physics. 128:429-440
This paper deals with the probabilistic short-range temperature forecasts over synoptic meteorological stations across Iran using non-homogeneous Gaussian regression (NGR). NGR creates a Gaussian forecast probability density function (PDF) from the e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::095e29eb4311d21b5ab55925c429066d
https://doi.org/10.1007/s00703-015-0426-9
https://doi.org/10.1007/s00703-015-0426-9