Assessing Bias Correction Methods in Support of Operational Weather Forecast in Arid Environment-Reference-Cited by-同舟云学术

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Assessing Bias Correction Methods in Support of Operational Weather Forecast in Arid Environment

Published:2019-07-01 Issue:3 Volume:56 Page:333-347
ISSN:1976-7633
Container-title:Asia-Pacific Journal of Atmospheric Sciences
language:en
Short-container-title:Asia-Pacific J Atmos Sci

Author:

Valappil Vineeth Krishnan,Temimi Marouane,Weston Michael,Fonseca Ricardo,Nelli Narendra Reddy,Thota Mohan,Kumar Kondapalli Niranjan

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Link

http://link.springer.com/content/pdf/10.1007/s13143-019-00139-4.pdf

Reference58 articles.

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2. Annan, J.D., Lunt, D.J., Hargreaves, J.C., Valdes, P.J.: Parameter estimation in an atmospheric GCM using the ensemble Kalman filter. Nonlinear Process. Geophys. 12(3), 363–371 (2005). https://doi.org/10.5194/npg-12-363-2005

3. Banks, R.F., Tiana-Alsina, J., Baldasano, J.M., Rocadenbosch, F., Papayannis, A., Solomos, S., Tzanis, C.G.: Sensitivity of boundary-layer variables to PBL schemes in the WRF model based on surface meteorological observations, lidar, and radiosondes during the HygrA-CD campaign. Atmos. Res. 176-177, 185–201 (2016). https://doi.org/10.1016/j.atmosres.2016.02.024

4. Bartok, J., Bott, A., Gera, M.: Fog prediction for road traffic safety in a Coastal Desert region. Bound.-Layer Meteorol. 145(3), 485–506 (2012). https://doi.org/10.1007/s10546-012-9750-5

5. Borrego, C., Monteiro, A., Pay, M.T., Ribeiro, I., Miranda, A.I., Basart, S., Baldasano, J.M.: How bias-correction can improve air quality forecasts over Portugal. Atmos. Environ. 45(37), 6629–6641 (2011). https://doi.org/10.1016/j.atmosenv.2011.09.006

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