Evaluating global land surface models in CMIP5: analysis of ecosystem water- and light-use efficiencies, and rainfall partitioning

Evaluating global land surface models in CMIP5: analysis of ecosystem water- and light-use... AbstractWater and carbon fluxes simulated by twelve Earth System Models (ESMs) participated in the Phase 5 of the Coupled Model Inter-comparison Project (CMIP5) over several recent decades were evaluated using three functional constraints that are derived from both model simulations, or 4 global datasets and 736 site-year measurements. Three functional constraints are ecosystem water-use-efficiency (WUE), light-use-efficiency (LUE) and the partitioning of precipitation (P) into evapotranspiration (ET) and runoff based on the Budyko framework. Although values of these three constraints varied significantly with time scale, and should be quite conservative if being averaged over multiple decades. The results showed that both WUE and LUE simulated by the ensemble mean of 12 ESMs were generally lower than the site measurements. Simulations by the ESMs were generally consistent with the broad pattern of energy-controlled ET under wet conditions and soil water controlled ET under dry conditions, as described by the Budyko framework. However, the value of the parameter in the Budyko framework ω obtained from fitting Budyko curve to the ensemble model simulation (1.74) was was larger than the best fitted value of ω to the observed data (1.28). Globally, ensemble mean of multiple models, although performing better than any individual model simulations, still underestimated the observed WUE, LUE and overestimated ET/P ratio, as a result of over-estimation in ET and under-estimation in GPP. Our results suggest that future model development should focus on improving the algorithms of the partitioning of precipitation into ecosystem ET and runoff and the coupling of water and carbon cycles for different land use types. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Climate American Meteorological Society

Evaluating global land surface models in CMIP5: analysis of ecosystem water- and light-use efficiencies, and rainfall partitioning

Loading next page...
 
/lp/ams/evaluating-global-land-surface-models-in-cmip5-analysis-of-ecosystem-QCLYgQZf8Q
Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1520-0442
D.O.I.
10.1175/JCLI-D-16-0177.1
Publisher site
See Article on Publisher Site

Abstract

AbstractWater and carbon fluxes simulated by twelve Earth System Models (ESMs) participated in the Phase 5 of the Coupled Model Inter-comparison Project (CMIP5) over several recent decades were evaluated using three functional constraints that are derived from both model simulations, or 4 global datasets and 736 site-year measurements. Three functional constraints are ecosystem water-use-efficiency (WUE), light-use-efficiency (LUE) and the partitioning of precipitation (P) into evapotranspiration (ET) and runoff based on the Budyko framework. Although values of these three constraints varied significantly with time scale, and should be quite conservative if being averaged over multiple decades. The results showed that both WUE and LUE simulated by the ensemble mean of 12 ESMs were generally lower than the site measurements. Simulations by the ESMs were generally consistent with the broad pattern of energy-controlled ET under wet conditions and soil water controlled ET under dry conditions, as described by the Budyko framework. However, the value of the parameter in the Budyko framework ω obtained from fitting Budyko curve to the ensemble model simulation (1.74) was was larger than the best fitted value of ω to the observed data (1.28). Globally, ensemble mean of multiple models, although performing better than any individual model simulations, still underestimated the observed WUE, LUE and overestimated ET/P ratio, as a result of over-estimation in ET and under-estimation in GPP. Our results suggest that future model development should focus on improving the algorithms of the partitioning of precipitation into ecosystem ET and runoff and the coupling of water and carbon cycles for different land use types.

Journal

Journal of ClimateAmerican Meteorological Society

Published: Feb 13, 2018

There are no references for this article.

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Unlimited reading

Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.

Stay up to date

Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.

Organize your research

It’s easy to organize your research with our built-in tools.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

Monthly Plan

  • Read unlimited articles
  • Personalized recommendations
  • No expiration
  • Print 20 pages per month
  • 20% off on PDF purchases
  • Organize your research
  • Get updates on your journals and topic searches

$49/month

Start Free Trial

14-day Free Trial

Best Deal — 39% off

Annual Plan

  • All the features of the Professional Plan, but for 39% off!
  • Billed annually
  • No expiration
  • For the normal price of 10 articles elsewhere, you get one full year of unlimited access to articles.

$588

$360/year

billed annually
Start Free Trial

14-day Free Trial