Evaluation and validation of TAMSAT-ALERT soil moisture and WRSI for use in drought anticipatory action

被引:24
作者
Boult, Victoria L. [1 ]
Asfaw, Dagmawi T. [2 ]
Young, Matthew [1 ]
Maidment, Ross [3 ]
Mwangi, Emmah [4 ]
Ambani, Maurine [4 ]
Waruru, Shamton [5 ]
Otieno, George [6 ]
Todd, Martin C. [7 ]
Black, Emily [1 ]
机构
[1] Univ Reading, Dept Meteorol, Natl Ctr Atmospher Sci, Reading, Berks, England
[2] Univ Bristol, Sch Geog Sci, Bristol, Avon, England
[3] Univ Reading, Dept Meteorol, Reading, Berks, England
[4] Kenya Red Cross Soc, Int Ctr Humanitarian Affairs, Nairobi, Kenya
[5] Natl Drought Management Author, Nairobi, Kenya
[6] IGAD Climate Predict & Applicat Ctr, Nairobi, Kenya
[7] Univ Sussex, Dept Geog, Brighton, E Sussex, England
基金
英国自然环境研究理事会;
关键词
anticipatory action; drought; soil moisture; TAMSAT‐ ALERT; validation; WRSI; ENVIRONMENT SIMULATOR JULES; MODEL DESCRIPTION; DECISION-SUPPORT; WEST-AFRICA; CLIMATE; IRRIGATION; MAIZE; FORECASTS; YIELD; KENYA;
D O I
10.1002/met.1959
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Reliable information on the likelihood of drought is of crucial importance in agricultural planning and humanitarian decision-making. Acting based upon probabilistic forecasts of drought, rather than responding to prevailing drought conditions, has the potential to save lives, livelihoods and resources, but is accompanied by the risk of acting in vain. The suitability of a novel forecasting tool is assessed in the present paper in terms of its ability to provide skilful information of the likelihood of drought impacts on crops and pasture within a timeframe that allows for anticipatory action. The Tropical Applications of Meteorology using SATellite data-AgriculturaL Early waRning sysTem (TAMSAT-ALERT) tool provides forecasts of seasonal mean soil moisture and the water requirement satisfaction index (WRSI). TAMSAT-ALERT metrics were found to be strongly correlated with pasture availability and maize yield in Kenya and provided skilful forecasts early in key seasons, allowing sufficient time for preparatory actions. Incorporating TAMSAT-ALERT forecasts in a layered approach, with actions triggered by spatiotemporally varying triggers and fundamentally informed by humanitarian actors, will provide reliable information on the likelihood of drought, ultimately mitigating food insecurity.
引用
收藏
页数:22
相关论文
共 64 条
[1]   Spatio-temporal effects of El Nino events on rainfall and maize yield in Kenya [J].
Amissah-Arthur, A ;
Jagtap, S ;
Rosenzweig, C .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2002, 22 (15) :1849-1860
[2]  
[Anonymous], OXFAM GB Pakistan Humanitarian Response to Floods Early Recovery Programme Planning
[3]  
[Anonymous], 2011, Fewsnet Kenya Food Security Alert
[4]  
Asfaw D.T., 2020, Combining multiple streams of environmental data into a decision support tool for maize based systems in SubSaharan Africa, DOI [10.48683/1926.00101664, DOI 10.48683/1926.00101664]
[5]   TAMSAT-ALERT v1: a new framework for agricultural decision support [J].
Asfaw, Dagmawi ;
Black, Emily ;
Brown, Matthew ;
Nicklin, Kathryn Jane ;
Otu-Larbi, Frederick ;
Pinnington, Ewan ;
Challinor, Andrew ;
Maidment, Ross ;
Quaife, Tristan .
GEOSCIENTIFIC MODEL DEVELOPMENT, 2018, 11 (06) :2353-2371
[6]   Agricultural drought assessment based on multiple soil moisture products [J].
Baik, Jongjin ;
Zohaib, Muhammad ;
Kim, Ungtae ;
Aadil, Muhammad ;
Choi, Minha .
JOURNAL OF ARID ENVIRONMENTS, 2019, 167 :43-55
[7]  
Best M., 2009, Jules Technical Documentation
[8]   The Joint UK Land Environment Simulator (JULES), model description - Part 1: Energy and water fluxes [J].
Best, M. J. ;
Pryor, M. ;
Clark, D. B. ;
Rooney, G. G. ;
Essery, R. L. H. ;
Menard, C. B. ;
Edwards, J. M. ;
Hendry, M. A. ;
Porson, A. ;
Gedney, N. ;
Mercado, L. M. ;
Sitch, S. ;
Blyth, E. ;
Boucher, O. ;
Cox, P. M. ;
Grimmond, C. S. B. ;
Harding, R. J. .
GEOSCIENTIFIC MODEL DEVELOPMENT, 2011, 4 (03) :677-699
[9]   The relationship between Indian Ocean sea-surface temperature and east African rainfall [J].
Black, E .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2005, 363 (1826) :43-47
[10]  
Black E, 2003, MON WEATHER REV, V131, P74, DOI 10.1175/1520-0493(2003)131<0074:AOSOTR>2.0.CO