Skip to main content Accessibility help
×
Hostname: page-component-77c89778f8-cnmwb Total loading time: 0 Render date: 2024-07-18T07:34:43.504Z Has data issue: false hasContentIssue false

THE INFLUENCE OF SUBGRID-SCALE SPATIAL VARIABILITY ON PRECIPITATION AND SOIL MOISTURE IN AN ATMOSPHERIC GCM

Published online by Cambridge University Press:  05 November 2011

D. Entekhabi
Affiliation:
Massachusetts Institute of Technology
Reinder A. Feddes
Affiliation:
Agricultural University, Wageningen, The Netherlands
Get access

Summary

ABSTRACT A new land surface hydrological parameterization for atmospheric General Circulation Models is introduced. The model incorporates physically-based relations for the partitioning of atmospheric energy and moisture forcing. Using statistical-dynamical derived-distribution techniques, closed-form and computationally-efficient expressions are developed for the inclusion of subgrid-scale spatial variability into parameterizations for atmospheric models. Numerical experiments with a General Circulation model show improved water balance estimates.

INTRODUCTION

Atmospheric General Circulation Models (GCMs) integrate the relevant conservation and state equations over grids (in the case of models using finite-difference schemes) or up to wave-numbers (in the case of models using spectral-solution techniques) that explicitly resolve processes whose dynamics occur at spatial scales on the order of hundreds of kilometres or larger. All physical processes whose characteristic scales are smaller are therefore either only implicitly represented or parameterized within the GCM. Radiative heating and cooling, turbulent diffusion, local convection, water phase transitions and hydrological processes are all examples of processes that are critical in the forcing of atmospheric motions, yet they are only parameterized in GCMs. The capability of GCMs of reproducing regional features of the climatic system and of capturing the significant feedbacks and interactions is thus partially dependent on the realism with which these physical processes are represented within the numerical model. In this paper the focus is on one of these processes, namely the land surface hydrology. As with other physics components in GCMs, the land surface hydrology is designed to capture the effective response of a system that depends on processes at a considerably finer scale than that of the GCM dynamics.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 1995

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×