Seasonal predictability of daily rainfall characteristics in central-northern Chile for dry-land management

نویسندگان

  • Koen Verbist
  • Andrew W. Robertson
  • Wim M. Cornelis
چکیده

Seasonal predictability of daily rainfall characteristics in central1 northern Chile for dry-land management 2 3 4 5 Koen Verbist 6 International Centre for Eremology, Dep. Soil Management, Ghent University, Ghent, 7 Belgium 8 Water Centre for Arid Zones in Latin America and the Caribbean, La Serena, Chile 9 10 Andrew W. Robertson 11 International Research Institute for Climate and Society, Palisades, New York, USA 12 13 Wim M. Cornelis 14 International Centre for Eremology, Dep. Soil Management, Ghent University, Ghent, 15 Belgium 16 17 Donald Gabriels 18 International Centre for Eremology, Dep. Soil Management, Ghent University, Ghent, 19 Belgium 20 21 22 Note: The authors indicate the use of nonstandard references in the introduction of this 23 manuscript that deal with the unpublished drought information of the region under study. 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 __________________ 40 Corresponding author address: Koen Verbist, Dep. Soil Management, Coupure Links 653, 9000 Ghent 41

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Seasonal Predictability and Spatial Coherence of Rainfall Characteristics in the Tropical Setting of Senegal

This study examines space–time characteristics of seasonal rainfall predictability in a tropical region by analyzing observed data and model simulations over Senegal. Predictability is analyzed in terms of the spatial coherence of observed interannual variability at the station scale, and within-ensemble coherence of general circulation model (GCM) simulations with observed sea surface temperat...

متن کامل

Seasonal predictability and spatial coherence of rainfall

This study examines space-time characteristics of seasonal rainfall predictability in a tropical region, by analyzing observed data and model simulations over Senegal. Predictability is analyzed in terms of the spatial coherence of observed interannual variability at the station scale, and within-ensemble coherence of general circulation model (GCM) simulations with observed sea surface tempera...

متن کامل

Spatial Coherence of Tropical Rainfall at the Regional Scale

This study examines the spatial coherence characteristics of daily station observations of rainfall in five tropical regions during the principal rainfall season(s): the Brazilian Nordeste, Senegal, Kenya, northwestern India, and northern Queensland. The rainfall networks include between 9 and 81 stations, and 29–70 seasons of observations. Seasonal-mean rainfall totals are decomposed in terms ...

متن کامل

Precipitation Extremes Estimated by GPCP and TRMM: ENSO Relationships

Global monthly and daily precipitation extremes are examined in relation to the El Niño–Southern Oscillation phenomenon. For each month around the annual cycle and in each 2.5° grid block, extremes in the Global Precipitation Climatology Project dataset are defined as the top five (wet) and bottom five (dry) mean rain rates from 1979 to 2004. Over the tropical oceans El Niño–Southern Oscillatio...

متن کامل

Trends in Agriculturally-Relevant Rainfall Characteristics for Small-Scale Agriculture in Northern Ghana

This study set out to investigate the trends of agriculturally-relevant rainfall characteristics among small-scale farmers in the rainfall-sensitive dry savanna agro-ecological zone of northern Ghana. Interviews are used to identify characteristics of rainfall which are deemed by the farmers as important in their food production. Time series daily rainfall data from 1960-2007 is then used to id...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010