A biophysical process-based estimate of global land surface evaporation using satellite and ancillary data II. Regional and global patterns of seasonal and annual variations

Abstract. We present the latest global land configuration of the Joint UK Land Environment Simulator (JULES) model as used in the latest international coupled model intercomparison project (CMIP6). The configuration is defined by the combination of switches, parameter values and ancillary data, which we provide alongside a set of historical forcing data that defines the experimental setup. In addition, we provide a standardised modelling system that runs on the NERC JASMIN cluster accessible to all with links to JULES. This is provided so that users can test and evaluate their own science against the standard configuration to promote community engagement in the development of land surface modelling capability through JULES. It is intended that JULES configurations should be independent of the underlying code base and thus they will be available at the latest release of the JULES code. This means that different code releases will produce scientifically comparable results for a given configuration version. Versioning is therefore determined by the configuration as opposed to the underlying code base.

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Comparison Pan Evaporation Data with Global Land-surface Evaporation GLEAM in Java and Bali Island Indonesia

Indonesian Journal of Geography ◽

10.22146/ijg.30926 ◽

2018 ◽

Vol 50 (1) ◽

pp. 87

Author(s):

Trinah Wati ◽

Ardhasena Sopaheluwakan ◽

Fatkhuroyan Fatkhuroyan

Keyword(s):

Land Surface ◽

Root Zone ◽

Mean Absolute Error ◽

Absolute Error ◽

Global Scale ◽

Pan Evaporation ◽

Surface Evaporation ◽

Wide Range ◽

Global Land ◽

Daily Scale

This paper evaluates the variability of pan evaporation (Epan) data in Java and Bali during 2003-2012 and compares to GLEAM (Global Land-surface Evaporation: the Amsterdam Methodology) data version v3.b namely actual evaporation (E) and potential evaporation (Ep) in the same period with statistical method. Gleam combines a wide range of remotely sensed observations to the estimation of terrestrial evaporation and root-zone soil moisture at a global scale (0.25-degree). The aim is to assess the accuracy of Gleam data by examining correlation, mean absolute error, Root mean square error and mean error between Epan and Gleam data in Java and Bali Island. The result shows the correlation between Epan with Ep Gleam is higher than Epan with E Gleam. Generally, the accuracy of Gleam data is a good performance to estimate the land evaporation in Java and Bali at annual and monthly scale. In daily scale, the correlation is less than 0.50 both between Epan with E Gleam and between Epan with Ep Gleam. In daily scale, the average errors ranging from 0.15 to 3.09 mm according to RMSE, MAE, and ME.The result of this study is essential in providing valuable recommendation for choosing alternative evaporation data in regional or local scale from satellite data.

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Relating Nimbus-7 37 GHz data to global land-surface evaporation, primary productivity and the atmospheric CO2concentration

International Journal of Remote Sensing ◽

10.1080/01431168808954844 ◽

1988 ◽

Vol 9 (1) ◽

pp. 169-176 ◽

Cited By ~ 18

Author(s):

B. J. CHOUDHURY

Keyword(s):

Primary Productivity ◽

Land Surface ◽

Surface Evaporation ◽

Global Land

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Global land surface evaporation trend during the past half century: Corroboration by Clausius-Clapeyron scaling

Advances in Water Resources ◽

10.1016/j.advwatres.2016.08.014 ◽

2017 ◽

Vol 106 ◽

pp. 3-5 ◽

Cited By ~ 10

Author(s):

Wilfried Brutsaert

Keyword(s):

Land Surface ◽

Half Century ◽

Surface Evaporation ◽

The Past ◽

Past Half Century ◽

Global Land ◽

Past Half

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An application of GLEAM to estimating global evaporation

Hydrology and Earth System Sciences Discussions ◽

10.5194/hessd-8-1-2011 ◽

2011 ◽

Vol 8 (1) ◽

pp. 1-27 ◽

Cited By ~ 10

Author(s):

D. G. Miralles ◽

R. A. M. De Jeu ◽

J. H. Gash ◽

T. R. H. Holmes ◽

A. J. Dolman

Keyword(s):

Soil Moisture ◽

Soil Water ◽

Land Surface ◽

Root Zone ◽

Rainfall Interception ◽

Running Water ◽

Surface Evaporation ◽

Continental Scale ◽

Wide Range ◽

Global Land

Abstract. A physics-based methodology is applied to estimate global land-surface evaporation from multi-satellite observations. GLEAM (Global Land-surface Evaporation: the Amsterdam Methodology) combines a wide range of remotely sensed observations within a Priestley and Taylor-based framework. Daily actual evaporation is derived at quarter degree resolution over the world's land surface. A running water balance of the vertical profile of soil moisture in the root zone is used to estimate the effect of soil water stress on transpiration. Forest rainfall interception, evaporation from bare soil, transpiration and snow sublimation are calculated independently. The inclusion of soil moisture deficit and forest rainfall interception – by means of the Gash analytical model – leads to an improved representation of the magnitude and distribution of the latent heat flux over semiarid and forested regions. Analyses of the global results show that interception loss plays an important role in the partition of the precipitation into evaporation and water available for runoff at a continental scale. The global distribution of evaporation and its different components is analysed to understand the relative magnitude of each component over different ecosystems. This study gives new insights into the relative importance of precipitation and net radiation in driving evaporation, and how the seasonal influence of these controls varies over the different regions of the world. Precipitation is recognised as an important factor driving evaporation, not only in areas that have limited soil water availability, but also in areas of high rainfall interception and low available energy.

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JULES-GL7: the Global Land configuration of the Joint UK Land Environment Simulator version 7.0 and 7.2

Geoscientific Model Development ◽

10.5194/gmd-13-483-2020 ◽

2020 ◽

Vol 13 (2) ◽

pp. 483-505 ◽

Cited By ~ 1

Author(s):

Andrew J. Wiltshire ◽

Maria Carolina Duran Rojas ◽

John M. Edwards ◽

Nicola Gedney ◽

Anna B. Harper ◽

...

Keyword(s):

Land Surface ◽

Coupled Model ◽

Ancillary Data ◽

Natural Environment Research Council ◽

Code Base ◽

Global Land ◽

Standard Configuration ◽

Intercomparison Project ◽

Land Surface Modelling ◽

Parameter Values

Abstract. We present the latest global land configuration of the Joint UK Land Environment Simulator (JULES) model as used in the latest international Coupled Model Intercomparison Project (CMIP6). The configuration is defined by the combination of switches, parameter values and ancillary data, which we provide alongside a set of historical forcing data that defines the experimental setup. The configurations provided are JULES-GL7.0, the base setup used in CMIP6 and JULES-GL7.2, a subversion that includes improvements to the representation of canopy radiation and interception. These configurations are recommended for all JULES applications focused on the exchange and state of heat, water and momentum at the land surface. In addition, we provide a standardised modelling system that runs on the Natural Environment Research Council (NERC) JASMIN cluster, accessible to all JULES users. This is provided so that users can test and evaluate their own science against the standard configuration to promote community engagement in the development of land surface modelling capability through JULES. It is intended that JULES configurations should be independent of the underlying code base, and thus they will be available in the latest release of the JULES code. This means that different code releases will produce scientifically comparable results for a given configuration version. Versioning is therefore determined by the configuration as opposed to the underlying code base.

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