290
Views
48
CrossRef citations to date
0
Altmetric
Original Articles

Probabilistic simulations of crop yield over western India using the DEMETER seasonal hindcast ensembles

, , &
Pages 498-512 | Received 31 Mar 2004, Accepted 28 Dec 2004, Published online: 15 Dec 2016

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (3)

E. DíEz, B. Orfila, M. D. FríAs, J. FernáNdez, A.S. CofiñO & J. M. GutiéRrez. (2011) Downscaling ECMWF seasonal precipitation forecasts in Europe using the RCA model. Tellus A: Dynamic Meteorology and Oceanography 63:4, pages 757-762.
Read now
A. K. Prasad, R. P. Singh, V. Tare & M. Kafatos. (2007) Use of vegetation index and meteorological parameters for the prediction of crop yield in India. International Journal of Remote Sensing 28:23, pages 5207-5235.
Read now
Francisco J. Doblas-Reyes, Renate Hagedorn & T.N. Palmer. (2005) The rationale behind the success of multi-model ensembles in seasonal forecasting — II. Calibration and combination. Tellus A: Dynamic Meteorology and Oceanography 57:3, pages 234-252.
Read now

Articles from other publishers (45)

Kindie Tesfaye, Robel Takele, Vakhtang Shelia, Esayas Lemma, Addisu Dabale, Pierre C. Sibiry Traore, Dawit Solomon & Gerrit Hoogenboom. (2023) High spatial resolution seasonal crop yield forecasting for heterogeneous maize environments in Oromia, Ethiopia. Climate Services 32, pages 100425.
Crossref
Daniel T. Skinner, Adrian J. Matthews & David P. Stevens. (2023) Decadal Variability of the Extratropical Response to the Madden–Julian Oscillation. Geophysical Research Letters 50:17.
Crossref
R. Kavitha, M. Kavitha & R. Srinivasan. (2022) Crop Recommendation in Precision Agriculture using Supervised Learning Algorithms. Crop Recommendation in Precision Agriculture using Supervised Learning Algorithms.
Jesse D’Elia, Nathan H. Schumaker, Bruce G. Marcot, Thomas Miewald, Sydney Watkins & Alan D. Yanahan. (2022) Condors in space: an individual-based population model for California condor reintroduction planning. Landscape Ecology 37:5, pages 1431-1452.
Crossref
Huidong Jin, Ming Li, Garry Hopwood, Zvi Hochman & K Shuvo Bakar. (2022) Improving early-season wheat yield forecasts driven by probabilistic seasonal climate forecasts. Agricultural and Forest Meteorology 315, pages 108832.
Crossref
Louis Kouadio, Vivekananda M. Byrareddy, Alidou Sawadogo & Nathaniel K. Newlands. (2021) Probabilistic yield forecasting of robusta coffee at the farm scale using agroclimatic and remote sensing derived indices. Agricultural and Forest Meteorology 306, pages 108449.
Crossref
Madhuri Dubey, Ashok Mishra & Rajendra Singh. (2021) Climate change impact analysis using bias-corrected multiple global climate models on rice and wheat yield. Journal of Water and Climate Change 12:4, pages 1282-1296.
Crossref
Shikha Ujjainia, Pratima `GautamS. Veenadhari. (2021) A Crop Recommendation System to Improve Crop Productivity using Ensemble Technique. International Journal of Innovative Technology and Exploring Engineering 10:4, pages 102-105.
Crossref
Ming Li, Huidong Jin & Jaclyn N. Brown. (2020) Making the Output of Seasonal Climate Models More Palatable to Agriculture: A Copula-Based Postprocessing Method. Journal of Applied Meteorology and Climatology 59:3, pages 497-515.
Crossref
Vakhtang Shelia, James Hansen, Vaishali Sharda, Cheryl Porter, Pramod Aggarwal, Carol J. Wilkerson & Gerrit Hoogenboom. (2019) A multi-scale and multi-model gridded framework for forecasting crop production, risk analysis, and climate change impact studies. Environmental Modelling & Software 115, pages 144-154.
Crossref
S. Gubler, K. Sedlmeier, J. Bhend, G. Avalos, C. A. S. Coelho, Y. Escajadillo, M. Jacques-Coper, R. Martinez, C. Schwierz, M. de Skansi & Ch. Spirig. (2019) Assessment of ECMWF SEAS5 Seasonal Forecast Performance over South America. Weather and Forecasting 35:2, pages 561-584.
Crossref
Sarah Strazzo, Dan C. Collins, Andrew Schepen, Q. J. Wang, Emily Becker & Liwei Jia. (2019) Application of a Hybrid Statistical–Dynamical System to Seasonal Prediction of North American Temperature and Precipitation. Monthly Weather Review 147:2, pages 607-625.
Crossref
Bruno Basso & Lin Liu. 2019. 201 255 .
Nathaniel Levitan & Barry Gross. (2018) Utilizing Collocated Crop Growth Model Simulations to Train Agronomic Satellite Retrieval Algorithms. Remote Sensing 10:12, pages 1968.
Crossref
Bin Peng, Kaiyu Guan, Ming Pan & Yan Li. (2018) Benefits of Seasonal Climate Prediction and Satellite Data for Forecasting U.S. Maize Yield. Geophysical Research Letters 45:18, pages 9662-9671.
Crossref
Dagmawi Asfaw, Emily Black, Matthew Brown, Kathryn Jane Nicklin, Frederick Otu-Larbi, Ewan Pinnington, Andrew Challinor, Ross Maidment & Tristan Quaife. (2018) TAMSAT-ALERT v1: a new framework for agricultural decision support. Geoscientific Model Development 11:6, pages 2353-2371.
Crossref
Chenchen Xu, Wenxiang Wu & Quansheng Ge. (2018) Impact assessment of climate change on rice yields using the ORYZA model in the Sichuan Basin, China. International Journal of Climatology 38:7, pages 2922-2939.
Crossref
Geoffrey E.O. Ogutu, Wietse H.P. Franssen, Iwan Supit, P. Omondi & Ronald W.A. Hutjes. (2018) Probabilistic maize yield prediction over East Africa using dynamic ensemble seasonal climate forecasts. Agricultural and Forest Meteorology 250-251, pages 243-261.
Crossref
Andrej Ceglar, Andrea Toreti, Chloe Prodhomme, Matteo Zampieri, Marco Turco & Francisco J. Doblas-Reyes. (2018) Land-surface initialisation improves seasonal climate prediction skill for maize yield forecast. Scientific Reports 8:1.
Crossref
Adrian M. Tompkins, María Inés Ortiz De Zárate, Ramiro I. Saurral, Carolina Vera, Celeste Saulo, William J. Merryfield, Michael Sigmond, Woo-Sung Lee, Johanna Baehr, Alain Braun, Amy Butler, Michel Déqué, Francisco J. Doblas-Reyes, Margaret Gordon, Adam A. Scaife, Yukiko Imada, Masayoshi Ishii, Tomoaki Ose, Ben Kirtman, Arun Kumar, Wolfgang A. Müller, Anna Pirani, Tim Stockdale, Michel Rixen & Tamaki Yasuda. (2017) The Climate-System Historical Forecast Project: Providing Open Access to Seasonal Forecast Ensembles from Centers around the Globe. Bulletin of the American Meteorological Society 98:11, pages 2293-2301.
Crossref
Yu Li, Matteo Giuliani & Andrea Castelletti. (2017) A coupled human–natural system to assess the operational value of weather and climate services for agriculture. Hydrology and Earth System Sciences 21:9, pages 4693-4709.
Crossref
Nicolas Canal, Olivier Deudon, Xavier Le Bris, Philippe Gate, Grégoire Pigeon, Mathieu Regimbeau & Jean-Christophe Calvet. (2017) Anticipation of the winter wheat growth based on seasonal weather forecasts over France. Meteorological Applications 24:3, pages 432-443.
Crossref
Huiyi Yang, Steven Dobbie, Julian Ramirez‐Villegas, Kuishuang Feng, Andrew J. Challinor, Bing Chen, Yao Gao, Lindsay Lee, Yan Yin, Laixiang Sun, James Watson, Ann‐Kristin Koehler, Tingting Fan & Sat Ghosh. (2016) Potential negative consequences of geoengineering on crop production: A study of Indian groundnut. Geophysical Research Letters 43:22.
Crossref
K. E. Williams & P. D. Falloon. (2015) Sources of interannual yield variability in JULES-crop and implications for forcing with seasonal weather forecasts. Geoscientific Model Development 8:12, pages 3987-3997.
Crossref
Kwang-Hyung Kim, Jaepil Cho, Yong Hwan Lee & Woo-Seop Lee. (2015) Predicting potential epidemics of rice leaf blast and sheath blight in South Korea under the RCP 4.5 and RCP 8.5 climate change scenarios using a rice disease epidemiology model, EPIRICE. Agricultural and Forest Meteorology 203, pages 191-207.
Crossref
Francisco J. Doblas‐Reyes, Javier García‐Serrano, Fabian Lienert, Aida Pintó Biescas & Luis R. L. Rodrigues. (2013) Seasonal climate predictability and forecasting: status and prospects. WIREs Climate Change 4:4, pages 245-268.
Crossref
Yanyan Huang, Huijun Wang & Ping Zhao. (2013) Is the Interannual Variability of the Summer Asian–Pacific Oscillation Predictable?. Journal of Climate 26:11, pages 3865-3876.
Crossref
Fulu Tao & Zhao Zhang. (2013) Climate Change, High-Temperature Stress, Rice Productivity, and Water Use in Eastern China: A New Superensemble-Based Probabilistic Projection. Journal of Applied Meteorology and Climatology 52:3, pages 531-551.
Crossref
Yujie Liu & Fulu Tao. (2013) Probabilistic Change of Wheat Productivity and Water Use in China for Global Mean Temperature Changes of 1°, 2°, and 3°C. Journal of Applied Meteorology and Climatology 52:1, pages 114-129.
Crossref
G. T. Diro, A. M. Tompkins & X. Bi. (2012) Dynamical downscaling of ECMWF Ensemble seasonal forecasts over East Africa with RegCM3. Journal of Geophysical Research: Atmospheres 117:D16.
Crossref
Amor V. M. Ines, James W. Hansen & Andrew W. Robertson. (2011) Enhancing the utility of daily GCM rainfall for crop yield prediction. International Journal of Climatology 31:14, pages 2168-2182.
Crossref
Alberto Arribas, M. Glover, A. Maidens, K. Peterson, M. Gordon, C. MacLachlan, R. Graham, D. Fereday, J. Camp, A. A. Scaife, P. Xavier, P. McLean, A. Colman & S. Cusack. (2011) The GloSea4 Ensemble Prediction System for Seasonal Forecasting. Monthly Weather Review 139:6, pages 1891-1910.
Crossref
Caio AS Coelho & Simone MS Costa. (2010) Challenges for integrating seasonal climate forecasts in user applications. Current Opinion in Environmental Sustainability 2:5-6, pages 317-325.
Crossref
Anne E. Jones & Andrew P. Morse. (2010) Application and Validation of a Seasonal Ensemble Prediction System Using a Dynamic Malaria Model. Journal of Climate 23:15, pages 4202-4215.
Crossref
M. D. Frías, S. Herrera, A. S. Cofiño & J. M. Gutiérrez. (2010) Assessing the Skill of Precipitation and Temperature Seasonal Forecasts in Spain: Windows of Opportunity Related to ENSO Events. Journal of Climate 23:2, pages 209-220.
Crossref
Andrew Challinor. 2010. Applied Agrometeorology. Applied Agrometeorology 885 891 .
Ben P. Kirtman & Dughong Min. (2009) Multimodel Ensemble ENSO Prediction with CCSM and CFS. Monthly Weather Review 137:9, pages 2908-2930.
Crossref
Guillermo A. Baigorria, James W. Hansen, Neil Ward, James W. Jones & James J. O’Brien. (2008) Assessing Predictability of Cotton Yields in the Southeastern United States Based on Regional Atmospheric Circulation and Surface Temperatures. Journal of Applied Meteorology and Climatology 47:1, pages 76-91.
Crossref
C. Sordo, M. D. Frías, S. Herrera, A. S. Cofiño & J. M. Gutiérrez. (2008) Interval-based statistical validation of operational seasonal forecasts in Spain conditioned to El Niño–Southern Oscillation events. Journal of Geophysical Research 113:D17.
Crossref
Andrew W. Robertson, Amor V. M. Ines & James W. Hansen. (2007) Downscaling of Seasonal Precipitation for Crop Simulation. Journal of Applied Meteorology and Climatology 46:6, pages 677-693.
Crossref
TOM M. OSBORNE, DAVID M LAWRENCE, ANDREW J. CHALLINOR, JULIA M. SLINGO & TIM R. WHEELER. (2007) Development and assessment of a coupled crop?climate model. Global Change Biology 13:1, pages 169-183.
Crossref
Renate Hagedorn, Francisco J. Doblas-Reyes & T. N. Palmer. 2009. Predictability of Weather and Climate. Predictability of Weather and Climate 674 692 .
T.N Palmer, F.J Doblas-Reyes, R Hagedorn & A Weisheimer. (2005) Probabilistic prediction of climate using multi-model ensembles: from basics to applications. Philosophical Transactions of the Royal Society B: Biological Sciences 360:1463, pages 1991-1998.
Crossref
A.J Challinor, T.R Wheeler, J.M Slingo & D Hemming. (2005) Quantification of physical and biological uncertainty in the simulation of the yield of a tropical crop using present-day and doubled CO 2 climates . Philosophical Transactions of the Royal Society B: Biological Sciences 360:1463, pages 2085-2094.
Crossref
FRANCISCO J. DOBLAS-REYES, RENATE HAGEDORN & T. N. PALMER. (2005) The rationale behind the success of multi-model ensembles in seasonal forecasting - II. Calibration and combination. Tellus A 57:3, pages 234-252.
Crossref