التفاصيل البيبلوغرافية
| العنوان: |
A new region-aware bias-correction method for simulated precipitation in areas of complex orography |
| المؤلفون: |
Gómez Navarro, Juan José, Raible, Christoph Cornelius, Bozhinova, Denica, Martius, Olivia, García Valero, Juan Andrés, Montávez Gómez, Juan Pedro |
| بيانات النشر: |
European Geosciences Union |
| سنة النشر: |
2018 |
| المجموعة: |
ARCIMÍS (Archivo Climatológico y Meteorológico Institucional - AEMET, Agencia Estatal de Meteorología) |
| مصطلحات موضوعية: |
Precipitation, Regional climate modelling, Hydrological cycle |
| الوصف: |
Regional climate modelling is used to simulate the hydrological cycle, which is fundamental for climate impact investigations. However, the output of these models is affected by biases that hamper its direct use in impact modelling. Here, we present two high-resolution (2 km) climate simulations of precipitation in the Alpine region, evaluate their performance over Switzerland and develop a new bias-correction technique for precipitation suitable for complex topography. The latter is based on quantile mapping, which is applied separately across a number of non-overlapping regions defined through cluster analysis. This technique allows removing prominent biases while it aims at minimising the disturbances to the physical consistency inherent in all statistical corrections of simulated data. The simulations span the period 1979–2005 and are carried out with the Weather Research and Forecasting model (WRF), driven by the ERA-Interim reanalysis (hereafter WRF-ERA), and the Community Earth System Model (hereafter WRF-CESM). The simulated precipitation is in both cases validated against observations in Switzerland. In a first step, the area is classified into regions of similar temporal variability of precipitation. Similar spatial patterns emerge in all datasets, with a clear northwest–southeast separation following the main orographic features of this region. The daily evolution and the annual cycle of precipitation in WRF-ERA closely reproduces the observations. Conversely, WRF-CESM shows a different seasonality with peak precipitation in winter and not in summer as in the observations or in WRF-ERA. The application of the new bias-correction technique minimises systematic biases in the WRF-CESM simulation and substantially improves the seasonality, while the temporal and physical consistency of simulated precipitation is greatly preserved. ; This work is supported by the Mobiliar Lab and the Swiss National Science Foundation (grant pleistoCEP – no. 200020_159563). |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
English |
| Relation: |
https://dx.doi.org/10.5194/gmd-11-2231-2018; Geoscientific Model Development. 2018, 11(6), p. 2231–2247; http://hdl.handle.net/20.500.11765/11526 |
| الاتاحة: |
https://hdl.handle.net/20.500.11765/11526 |
| Rights: |
Licencia CC: Reconocimiento CC BY ; info:eu-repo/semantics/openAccess |
| رقم الانضمام: |
edsbas.19CC61F6 |
| قاعدة البيانات: |
BASE |