Physical disaggregation of numerical model rainfall

1Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

Abstract

A methodology is presented for the disaggregation of numerical model fields of convective rainfall using a physically based procedure. The scheme uses surface sensible heat flux values derived from high-resolution multichannel satellite radiometer observations. The sensible heat flux values initialise a simple convective model to calculate the convective disaggregation parameter (CDP), which is theoretically proportional to the convective rainfall rate. The CDP diagnostic parameter can be derived as a one-time field if the surface characteristics are invariant, as a seasonal value may be, or it may be evaluated on a case by case basis. Once found, the CDP can be used to disaggregate numerical weather prediction (NWP) convective rainfall fields for as far ahead as such fields are produced.

References Powered by Scopus

Passive microwave remote sensing of soil moisture

636Citations
N/AReaders
Get full text

The relationship between large-scale convective rainfall and cold cloud over the Western Hemisphere during 1982-84.

635Citations
N/AReaders
Get full text

A microphysically based precipitation scheme for the UK Meteorological Office Unified Model

559Citations
N/AReaders
Get full text

Cited by Powered by Scopus

A Bayesian state space modelling approach to probabilistic quantitative precipitation forecasting

13Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Fox, N. I., & Collier, C. G. (2000). Physical disaggregation of numerical model rainfall. Hydrology and Earth System Sciences, 4(3), 419–424. https://doi.org/10.5194/hess-4-419-2000

Readers' Seniority

Tooltip

Professor / Associate Prof. 2

40%

PhD / Post grad / Masters / Doc 2

40%

Researcher 1

20%

Readers' Discipline

Tooltip

Earth and Planetary Sciences 2

40%

Environmental Science 1

20%

Computer Science 1

20%

Engineering 1

20%

Save time finding and organizing research with Mendeley

Sign up for free