Soil state and surface hydrology diagnosis based on MOSES in the Met Office Nimrod nowcasting system

R. N. B. Smith; E. M. Blyth; J. W. Finch; S. Goodchild; R. L. Hall; S. Madry

doi:10.1017/S1350482705002069

Abstract

A system has been developed and made operational at the Met Office for the real-time diagnosis of soil state and surface hydrology. It is based on the Met Office Surface Exchanges Scheme (MOSES) modified to take account of unresolved soil and topographic heterogeneity when calculating surface runoff by incorporating a Probability Distributed Moisture (PDM) scheme developed by the Centre for Ecology and Hydrology. The implementation of MOSES-PDM in the Met Office's Nimrod nowcasting system is described. High resolution soil characteristics and land cover data, together with Nimrod's analyses of precipitation amount and type, cloud cover and near-surface atmospheric variables are used to drive MOSES-PDM. Hourly values of snowmelt, runoff, net surface radiation, evaporation, potential evaporation, soil temperature, soil moisture and soil moisture deficit are calculated on a 5 km grid.

Crossref Citations

This article has been cited by the following publications. This list is generated based on data provided by Crossref.

Collier, C. G. 2007. Flash flood forecasting: What are the limits of predictability?. Quarterly Journal of the Royal Meteorological Society, Vol. 133, Issue. 622, p. 3.

Roberts, Nigel M. and Lean, Humphrey W. 2008. Scale-Selective Verification of Rainfall Accumulations from High-Resolution Forecasts of Convective Events. Monthly Weather Review, Vol. 136, Issue. 1, p. 78.

Kong, X. and Dorling, S. R. 2008. Near‐surface soil moisture retrieval from ASAR Wide Swath imagery using a Principal Component Analysis. International Journal of Remote Sensing, Vol. 29, Issue. 10, p. 2925.

Roberts, Nigel M. Cole, Steven J. Forbes, Richard M. Moore, Robert J. and Boswell, Daniel 2009. Use of high‐resolution NWP rainfall and river flow forecasts for advance warning of the Carlisle flood, north‐west England. Meteorological Applications, Vol. 16, Issue. 1, p. 23.

Ghent, D. Kaduk, J. Remedios, J. Ardö, J. and Balzter, H. 2010. Assimilation of land surface temperature into the land surface model JULES with an ensemble Kalman filter. Journal of Geophysical Research: Atmospheres, Vol. 115, Issue. D19,

Burke, Eleanor J. Perry, Richard H.J. and Brown, Simon J. 2010. An extreme value analysis of UK drought and projections of change in the future. Journal of Hydrology, Vol. 388, Issue. 1-2, p. 131.

Kong, Xin Dorling, Steve and Smith, Roderick 2011. Soil moisture modelling and validation at an agricultural site in Norfolk using the Met Office surface exchange scheme (MOSES). Meteorological Applications, Vol. 18, Issue. 1, p. 18.

Ghent, D. Kaduk, J. Remedios, J. and Balzter, H. 2011. Data assimilation into land surface models: the implications for climate feedbacks. International Journal of Remote Sensing, Vol. 32, Issue. 3, p. 617.

Quinn, S. A. Liss, D. Johnson, D. Van Wonderen, J. J. and Power, T. 2012. Recharge estimation methodologies employed by the Environment Agency of England and Wales for the purposes of regional groundwater resource modelling. Geological Society, London, Special Publications, Vol. 364, Issue. 1, p. 65.

2012. Rainfall‐Runoff Modelling. p. 397.

Ingram, R. G. S. Stone, N. Carey, M. and Smart, P. 2012. Catchment-scale water balance modelling in a Carboniferous Limestone aquifer. Geological Society, London, Special Publications, Vol. 364, Issue. 1, p. 249.

Butler, A. P. Hughes, A. G. Jackson, C. R. Ireson, A. M. Parker, S. J. Wheater, H. S. and Peach, D. W. 2012. Advances in modelling groundwater behaviour in Chalk catchments. Geological Society, London, Special Publications, Vol. 364, Issue. 1, p. 113.

Falloon, P. D. Dankers, R. Betts, R. A. Jones, C. D. Booth, B. B. B. and Lambert, F. H. 2012. Role of vegetation change in future climate under the A1B scenario and a climate stabilisation scenario, using the HadCM3C Earth system model. Biogeosciences, Vol. 9, Issue. 11, p. 4739.

Gellatly, S. C. Raynor, M. E. Green, C. J. E. and Neve, P. S. 2012. Using and refining an existing regional groundwater model to assess the impacts of an abstraction on a nearby wetland. Geological Society, London, Special Publications, Vol. 364, Issue. 1, p. 333.

Tang, Yongming Lean, Humphrey W. and Bornemann, Jorge 2013. The benefits of the Met Office variable resolution NWP model for forecasting convection. Meteorological Applications, Vol. 20, Issue. 4, p. 417.

Liguori, Sara and Rico‐Ramirez, Miguel Angel 2013. A practical approach to the assessment of probabilistic flow predictions. Hydrological Processes, Vol. 27, Issue. 1, p. 18.

Dorling, Stephen 2014. Managing Climate Variability in Agriculture. Outlook on Agriculture, Vol. 43, Issue. 1, p. 13.

Mathias, Simon A. Skaggs, Todd H. Quinn, Simon A. Egan, Sorcha N. C. Finch, Lucy E. and Oldham, Corinne D. 2015. A soil moisture accounting-procedure with a Richards' equation-based soil texture-dependent parameterization. Water Resources Research, Vol. 51, Issue. 1, p. 506.

BEVEN, KEITH BATHURST, JAMES O'CONNELL, ENDA LITTLEWOOD, IAN BLACKIE, JIM and ROBINSON, MARK 2015. Progress in Modern Hydrology: Past, Present and Future. p. 216.

2016. Hydrometeorology. p. 41.

Download full list

Article contents

Soil state and surface hydrology diagnosis based on MOSES in the Met Office Nimrod nowcasting system

Abstract

Keywords

Access options

This article has been cited by the following publications. This list is generated based on data provided by Crossref.

Article contents

Soil state and surface hydrology diagnosis based on MOSES in the Met Office Nimrod nowcasting system

Abstract

Keywords

Access options

Save article to Kindle

Save article to Dropbox

Save article to Google Drive

Reply to: Submit a response

Your details

You have entered the maximum number of contributors

Conflicting interests