Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

A comprehensive evaluation of hydrological processes in a second-generation dynamic vegetation model

Zhou, Hao LU orcid ; Tang, Jing LU orcid ; Olin, Stefan LU and Miller, Paul A. LU (2024) In Hydrological Processes 38(4).
Abstract

The global water and carbon cycles are greatly influenced by terrestrial vegetation, making trustworthy representations of dynamic biosphere–hydrosphere interactions a crucial component of both ecosystem and climate models. This paper comprehensively evaluates the hydrological performance of a leading dynamic global vegetation model Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS), using a broad range of the latest available global observation-based gridded datasets that cover the main components of the hydrological cycle. Overall, we find that the hydrological components modelled by LPJ-GUESS agree well with global gridded datasets of runoff, evapotranspiration and surface soil moisture, though there are discrepancies in some... (More)

The global water and carbon cycles are greatly influenced by terrestrial vegetation, making trustworthy representations of dynamic biosphere–hydrosphere interactions a crucial component of both ecosystem and climate models. This paper comprehensively evaluates the hydrological performance of a leading dynamic global vegetation model Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS), using a broad range of the latest available global observation-based gridded datasets that cover the main components of the hydrological cycle. Overall, we find that the hydrological components modelled by LPJ-GUESS agree well with global gridded datasets of runoff, evapotranspiration and surface soil moisture, though there are discrepancies in some regions and periods. Furthermore, LPJ-GUESS accurately captures both inter- and intra-annual variations of runoff in most regions and catchment areas, including the Danube, Murray, Yangtze, Yenisei and Nile basins. Total evapotranspiration modelled by LPJ-GUESS agrees closely with the evapotranspiration estimates of the Global Land Evaporation Amsterdam Model and PML-V2 datasets, but with some disagreement in the individual components, especially for evaporation. The surface soil moisture simulated by LPJ-GUESS aligns with ESA-CCI (v5.3) surface soil moisture datasets in most regions, with greatest discrepancies in subarctic areas. We attribute these discrepancies to two main sources: (1) absent or poor representation of processes such as river routing, storage and supply of water bodies, and cropland irrigation; and (2) uncertainties in both reference datasets and input to the model, including precipitation, soil texture, and land use.

(Less)
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
dynamic global vegetation model, evapotranspiration, hydrological processes evaluation, observation-based global gridded datasets, runoff, surface soil moisture
in
Hydrological Processes
volume
38
issue
4
article number
e15152
publisher
John Wiley & Sons Inc.
external identifiers
  • scopus:85191155187
ISSN
0885-6087
DOI
10.1002/hyp.15152
language
English
LU publication?
yes
id
e3c89c44-011f-404e-93f1-046266e53a42
date added to LUP
2024-05-06 11:02:03
date last changed
2024-05-06 11:04:13
@article{e3c89c44-011f-404e-93f1-046266e53a42,
  abstract     = {{<p>The global water and carbon cycles are greatly influenced by terrestrial vegetation, making trustworthy representations of dynamic biosphere–hydrosphere interactions a crucial component of both ecosystem and climate models. This paper comprehensively evaluates the hydrological performance of a leading dynamic global vegetation model Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS), using a broad range of the latest available global observation-based gridded datasets that cover the main components of the hydrological cycle. Overall, we find that the hydrological components modelled by LPJ-GUESS agree well with global gridded datasets of runoff, evapotranspiration and surface soil moisture, though there are discrepancies in some regions and periods. Furthermore, LPJ-GUESS accurately captures both inter- and intra-annual variations of runoff in most regions and catchment areas, including the Danube, Murray, Yangtze, Yenisei and Nile basins. Total evapotranspiration modelled by LPJ-GUESS agrees closely with the evapotranspiration estimates of the Global Land Evaporation Amsterdam Model and PML-V2 datasets, but with some disagreement in the individual components, especially for evaporation. The surface soil moisture simulated by LPJ-GUESS aligns with ESA-CCI (v5.3) surface soil moisture datasets in most regions, with greatest discrepancies in subarctic areas. We attribute these discrepancies to two main sources: (1) absent or poor representation of processes such as river routing, storage and supply of water bodies, and cropland irrigation; and (2) uncertainties in both reference datasets and input to the model, including precipitation, soil texture, and land use.</p>}},
  author       = {{Zhou, Hao and Tang, Jing and Olin, Stefan and Miller, Paul A.}},
  issn         = {{0885-6087}},
  keywords     = {{dynamic global vegetation model; evapotranspiration; hydrological processes evaluation; observation-based global gridded datasets; runoff; surface soil moisture}},
  language     = {{eng}},
  number       = {{4}},
  publisher    = {{John Wiley & Sons Inc.}},
  series       = {{Hydrological Processes}},
  title        = {{A comprehensive evaluation of hydrological processes in a second-generation dynamic vegetation model}},
  url          = {{http://dx.doi.org/10.1002/hyp.15152}},
  doi          = {{10.1002/hyp.15152}},
  volume       = {{38}},
  year         = {{2024}},
}