Articles | Volume 11, issue 6
Geosci. Model Dev., 11, 2353–2371, 2018
https://doi.org/10.5194/gmd-11-2353-2018
Geosci. Model Dev., 11, 2353–2371, 2018
https://doi.org/10.5194/gmd-11-2353-2018
Model description paper
19 Jun 2018
Model description paper | 19 Jun 2018

TAMSAT-ALERT v1: a new framework for agricultural decision support

Dagmawi Asfaw et al.

Related authors

GC Insights: Diversifying the Geosciences in Higher Education: a Manifesto for Change
Caitlyn A. Hall, Sam Illingworth, Solmaz Mohadjer, Mathew Koll Roxy, Craig Poku, Frederick Otu-Larbi, Darryl Reano, Mara Freilich, Maria-Luisa Veisaga, Miguel Valencia, and Joey Morales
EGUsphere, https://doi.org/10.5194/egusphere-2022-116,https://doi.org/10.5194/egusphere-2022-116, 2022
Short summary
Improvement of modeling plant responses to low soil moisture in JULESvn4.9 and evaluation against flux tower measurements
Anna B. Harper, Karina E. Williams, Patrick C. McGuire, Maria Carolina Duran Rojas, Debbie Hemming, Anne Verhoef, Chris Huntingford, Lucy Rowland, Toby Marthews, Cleiton Breder Eller, Camilla Mathison, Rodolfo L. B. Nobrega, Nicola Gedney, Pier Luigi Vidale, Fred Otu-Larbi, Divya Pandey, Sebastien Garrigues, Azin Wright, Darren Slevin, Martin G. De Kauwe, Eleanor Blyth, Jonas Ardö, Andrew Black, Damien Bonal, Nina Buchmann, Benoit Burban, Kathrin Fuchs, Agnès de Grandcourt, Ivan Mammarella, Lutz Merbold, Leonardo Montagnani, Yann Nouvellon, Natalia Restrepo-Coupe, and Georg Wohlfahrt
Geosci. Model Dev., 14, 3269–3294, https://doi.org/10.5194/gmd-14-3269-2021,https://doi.org/10.5194/gmd-14-3269-2021, 2021
Short summary
Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data
Ewan Pinnington, Javier Amezcua, Elizabeth Cooper, Simon Dadson, Rich Ellis, Jian Peng, Emma Robinson, Ross Morrison, Simon Osborne, and Tristan Quaife
Hydrol. Earth Syst. Sci., 25, 1617–1641, https://doi.org/10.5194/hess-25-1617-2021,https://doi.org/10.5194/hess-25-1617-2021, 2021
Short summary
Implementation of sequential cropping into JULESvn5.2 land-surface model
Camilla Mathison, Andrew J. Challinor, Chetan Deva, Pete Falloon, Sébastien Garrigues, Sophie Moulin, Karina Williams, and Andy Wiltshire
Geosci. Model Dev., 14, 437–471, https://doi.org/10.5194/gmd-14-437-2021,https://doi.org/10.5194/gmd-14-437-2021, 2021
Short summary
The Land Variational Ensemble Data Assimilation Framework: LAVENDAR v1.0.0
Ewan Pinnington, Tristan Quaife, Amos Lawless, Karina Williams, Tim Arkebauer, and Dave Scoby
Geosci. Model Dev., 13, 55–69, https://doi.org/10.5194/gmd-13-55-2020,https://doi.org/10.5194/gmd-13-55-2020, 2020
Short summary

Related subject area

Climate and Earth system modeling
Checkerboard patterns in E3SMv2 and E3SM-MMFv2
Walter Hannah, Kyle Pressel, Mikhail Ovchinnikov, and Gregory Elsaesser
Geosci. Model Dev., 15, 6243–6257, https://doi.org/10.5194/gmd-15-6243-2022,https://doi.org/10.5194/gmd-15-6243-2022, 2022
Short summary
MIdASv0.2.1 – MultI-scale bias AdjuStment
Peter Berg, Thomas Bosshard, Wei Yang, and Klaus Zimmermann
Geosci. Model Dev., 15, 6165–6180, https://doi.org/10.5194/gmd-15-6165-2022,https://doi.org/10.5194/gmd-15-6165-2022, 2022
Short summary
FOCI-MOPS v1 – integration of marine biogeochemistry within the Flexible Ocean and Climate Infrastructure version 1 (FOCI 1) Earth system model
Chia-Te Chien, Jonathan V. Durgadoo, Dana Ehlert, Ivy Frenger, David P. Keller, Wolfgang Koeve, Iris Kriest, Angela Landolfi, Lavinia Patara, Sebastian Wahl, and Andreas Oschlies
Geosci. Model Dev., 15, 5987–6024, https://doi.org/10.5194/gmd-15-5987-2022,https://doi.org/10.5194/gmd-15-5987-2022, 2022
Short summary
Assessment of the Paris urban heat island in ERA5 and offline SURFEX-TEB (v8.1) simulations using the METEOSAT land surface temperature product
Miguel Nogueira, Alexandra Hurduc, Sofia Ermida, Daniela C. A. Lima, Pedro M. M. Soares, Frederico Johannsen, and Emanuel Dutra
Geosci. Model Dev., 15, 5949–5965, https://doi.org/10.5194/gmd-15-5949-2022,https://doi.org/10.5194/gmd-15-5949-2022, 2022
Short summary
The Earth system model CLIMBER-X v1.0 – Part 1: Climate model description and validation​​​​​​​​​​​​​​
Matteo Willeit, Andrey Ganopolski, Alexander Robinson, and Neil R. Edwards
Geosci. Model Dev., 15, 5905–5948, https://doi.org/10.5194/gmd-15-5905-2022,https://doi.org/10.5194/gmd-15-5905-2022, 2022
Short summary

Cited articles

Asfaw, D., Black, E., Brown, M., Nicklin, K. J., Otu-Larbi, F., Pinnington, E., Challinor, A., Maidment, R., and Quaife, T.: TAMSAT-ALERT v1: A new framework for agricultural decision support, https://doi.org/10.5281/zenodo.1164603, 2018. 
Bannayan, M., Crout, N. M., and Hoogenboom, G.: Application of the CERES-Wheat model for within-season prediction of winter wheat yield in the United Kingdom, Agron. J., 95, 114–125, https://doi.org/10.2134/agronj2003.0114, 2003. 
Barnston, A. G. and Tippett, M. K.: Climate information, outlooks, and understanding-where does the IRI stand?, Earth Perspectives, 1, 20, https://doi.org/10.1186/2194-6434-1-20, 2014. 
Black, E., Greatrex, H., Young, M., and Maidment, R.: Incorporating satellite data into weather index insurance, B. Am. Meteorol. Soc., 97, ES203–ES206, https://doi.org/10.1175/BAMS-D-16-0148.1, 2016. 
Boyd, E., Cornforth, R. J., Lamb, P. J., Tarhule, A., Lélé, M. I., and Brouder, A.: Building resilience to face recurring environmental crisis in African Sahel, Nat. Clim. Change, 3, 631–638, https://doi.org/10.1038/NCLIMATE1856, 2013. 
Download
Short summary
TAMSAT-ALERT is a framework for combining observational and forecast information into continually updated assessments of the likelihood of user-defined adverse events like low cumulative rainfall or lower than average crop yield. It is easy to use and flexible to accommodate any impact model that uses meteorological data. The results show that it can be used to monitor the meteorological impact on yield within a growing season and to test the value of routinely issued seasonal forecasts.