Atmospheric Predictors for Annual Maximum Precipitation in North Africa
نویسندگان
چکیده
منابع مشابه
Estimating annual precipitation for the Colorado River Basin using oceanic-atmospheric oscillations
متن کامل
A simple model for prediction of annual precipitation in the southern and western provinces of I.R.Iran
متن کامل
Application of geostastical methods for determining annual precipitation in Karoon and Dez basins
Prediction of annual average precipitation over a regin is one of important issues in watersherd management and natural resources planning. Geostatistics is one of the useful methods for precipitation prediction which varies based on type of the variable. This study was conducted in Karoon and Dez Basins located in southwertern of Iran. The data set including 20 years of annual precipitation of...
متن کاملSpatially coherent trends of annual maximum daily precipitation in the United States
A newmultilevel, hierarchical Bayesian model is developed to simultaneously identify clusters of stations with similar temporal patterns, the trend associated with each cluster and for the individual stations within each cluster. An application to the annual maximum daily precipitation in the United States for a common 70 year (1941–2010) period across the HADEX2 sites is presented. The model i...
متن کاملHow important are atmospheric depressions and mobile cyclones for emitting mineral dust aerosol in North Africa?
This study presents the first quantitative estimate of the mineral dust emission associated with atmospheric depressions and migrating, long-lived cyclones in North Africa. Atmospheric depressions are automatically tracked at 925 hPa based on ERA-Interim data from the European Centre 5 for Medium-Range Weather Forecasts for 1989−2008. A set of filter criteria is applied to identify migrating, l...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Applied Meteorology and Climatology
سال: 2016
ISSN: 1558-8424,1558-8432
DOI: 10.1175/jamc-d-14-0122.1