ISIMIP2a Simulation Data from Water (global) Sector

Simon, Gosling; Schmied, Hannes Müller; Betts, Richard; Chang, Jinfeng; Ciais, Philippe; Dankers, Rutger; Döll, Petra; Eisner, Stephanie; Flörke, Martina; Gerten, Dieter; Grillakis, Manolis; Hanasaki, Naota; Hagemann, Stefan; Huang, Maoyi; Huang, Zhongwei; Jerez, Sónia; Koutroulis, Aristeidis; Leng, Guoyong; Liu, Xingcai; Masaki, Yoshimitsu; Montavez, Pedro; Morfopoulos, Catherine; Oki, Taikan; Papadimitriou, Lamprini; Pokhrel, Yadu; Portmann, Felix T.; Orth, René; Ostberg, Sebastian; Satoh, Yusuke; Sommer, Philipp S.; Stacke, Tobias; Tang, Qiuhong; Tsanis, Ioannis K.; Wada, Yoshihide; Zhou, Tian; Büchner, Matthias; Schewe, Jacob; Zhao, Fang

doi:10.5880/pik.2017.010

Cited by 7 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides model forcings, deficiencies in model structures and parameterizations can also lead to biased Q estimations. The different performance of models in the ISIMIP2a or GLDAS modeling experiments largely underline the model deficiencies, as all models within ISIMIP2a and GLDAS are informed by the same meteorological forcings (i.e., PGFv2; Gosling et al, 2017;Rodell et al, 2004). Macro-scale hydrological and LSMs often have a simple model structure for the sake of computational efficiency and easy implementation.…”

Section: Discussionmentioning

confidence: 99%

“…As an effort to fill that need, here we present a study on the evaluation of simulated runoff from 21 global models against streamflow observations from 840 strictly selected catchments that cover a broad range of climate and surface conditions from 1971 to 2010. The participated 21 models include (a) 12 climate models from the Sixth Phase of the Coupled Model Intercomparison Project (CMIP6; Eyring et al, 2016), (b) six global hydrological models (GHMs) from the second phase of the Inter-Sectoral Impact Model Inter-Comparison Project (ISIMIP2a; Gosling et al, 2017) and (c) three land surface models (LSMs) from the Global Land Data Assimilation System (GLDAS) version 2.0 (Rodell et al, 2004) (see Table 2 for model details). These three modeling experiments represent the most recent efforts of global-scale climate/land surface modeling, runoff outputs of which have been extensively used in various hydrological analyses (e.g., Cook et al, 2020;Ha et al, 2020;Hirabayashi et al, 2021;Li et al, 2020;Liu et al, 2019;Munia et al, 2020;Schewe et al, 2019;Wang et al, 2021).…”

mentioning

confidence: 99%

See 1 more Smart Citation

Global Evaluation of Runoff Simulation From Climate, Hydrological and Land Surface Models

Hou

Guo

Liu

2022

Water Resources Research

View full text Add to dashboard Cite

Climate change and land use/cover change are altering the global hydrological cycle, leading to intensified water scarcity issues and rising risks of water-related natural hazards (e.g., floods and droughts) in many regions of the world (e.g., Cook et al., 2018;Konapala et al., 2020;Padrón et al., 2020). As a vital component of the terrestrial hydrological cycle, river streamflow is not only the most direct freshwater resource for various kinds of human needs but also an (if not the most) representative indicator of hydrological response to environmental changes at the catchment scale, since streamflow represents an integrated consequence of multiple hydrological processes and their interactions with climate and surface characteristics in a catchment (Zaitchik et al., 2010). Many studies have assessed the hydrological responses to global environmental changes using observed streamflow at the catchment and/or regional scales (e.g.,

show abstract

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Global Evaluation of Runoff Simulation From Climate, Hydrological and Land Surface Models

Hou

Guo

Liu

2022

Water Resources Research

View full text Add to dashboard Cite

show abstract

“…Direct human impacts on TWS and each water component were isolated through sensitivity experiments with WaterGAP2.2d which compared the simulations from a "standard" run considering both climate and human impacts and a "naturalized" run considering no direct human interventions (although land use is included). In addition, we also leveraged the simulated climate-driven TWS changes from WaterGAP2.2d, human water use from the Inter-Sectoral Impact Model Intercomparison Project (Gosling et al, 2017) (ISIMIP) (Text 1.6 in Supporting Information S1), and auxiliary irrigation information (Siebert et al, 2013) (Text 1.7 in Supporting Information S1) to further verify our calculations from GRACE-REC-EM and WaterGAP2.2d and facilitate result interpretations.…”

Section: Quantitative Attributions Of Grace-observed Tws Trendsmentioning

confidence: 99%

Divergent Causes of Terrestrial Water Storage Decline Between Drylands and Humid Regions Globally

Wang

Huang

et al. 2021

Geophysical Research Letters

Self Cite

View full text Add to dashboard Cite

Drylands cover more than 40% of the Earth's land surface and play a key role in global carbon sequestration (Schimel, 2010). Drylands are also home to one-third of human population, who constitutes about half of the residents living below the United Nations poverty line (UNEP, 2011). As one of the most environmentally fragile and economically vulnerable regions, drylands are at the margin of sustainability and are often threatened by severe water stress (Huang et al., 2016). Recent studies have shown that many declining hotspots of terrestrial water storage (TWS) (Famiglietti, 2004), an integration of surface waters, glaciers, canopy water, soil moisture, and groundwater, are concentrated on global drylands (

show abstract

“…Gudmundsson, et al demonstrated that externally forced climate change has globally adjusted both the mean and extreme river flows, presenting new challenges for water management and flood protection (2021). Several studies have used the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) simulation results (simulation experiment 2a by Gosling et al 2017, andphase 2b Frieler et al 2017) to evaluate streamflow projections at both the global and regional scales. Krysanova et al emphasize the importance of evaluating model projections over the historical time period (2020,2018).…”

Section: Introductionmentioning

confidence: 99%

Climate change projections of continental-scale streamflow across the Mississippi River Basin

Lewis

Lytle

Tavakoly

2022

Theor Appl Climatol

View full text Add to dashboard Cite

A large body of scientific research has demonstrated a changing climate, which affects river flow regimes and extreme flood frequencies and magnitudes. The magnitude and frequency of extreme events are of critical importance in the evaluation of river systems to inform flood risk reduction under current and future conditions. The global climate projections from the Coupled Model Intercomparison Project, Phase 5 (CMIP5) datasets were used by the Variable Infiltration Capacity (VIC) land surface model to produce a runoff dataset, implementing a Bias-Correction Spatial Disaggregation (BCSD) approach. The resulting runoff was then used as input to the Routing Application for Parallel computatIon of Discharge (RAPID) river routing model to simulate daily flows within all 1.2 million Mississippi River Basin river reaches for years 1950 through 2099. This research effort analyzed the performance of the models for the historical time period, comparing with the observations at 64 gage locations for 16 different climate models. A recurrence interval analysis was performed to determine the 2-, 5-, 10-, 50-, 100-, 500-, and 1000-year events within both the historical and projected time periods, highlighting the relative changes predicted into the future. Anticipated seasonal changes are demonstrated by comparing monthly average streamflows for three different time periods (1951–2005, 2006–2049, and 2050–2099). Results indicate that the hydrologic conditions of the Lower Mississippi River are not stationary. Based on all 16 models considered in this study, the median of the model projections shows an 8% increase in the 100-year return period discharge at Vicksburg, Mississippi, into the future time period, although the full range of 16 models varies widely from − 11 to + 85% change in the 100-year discharge in the future.

show abstract

ISIMIP2a Simulation Data from Water (global) Sector

Cited by 7 publications

References 0 publications

Global Evaluation of Runoff Simulation From Climate, Hydrological and Land Surface Models

Global Evaluation of Runoff Simulation From Climate, Hydrological and Land Surface Models

Divergent Causes of Terrestrial Water Storage Decline Between Drylands and Humid Regions Globally

Climate change projections of continental-scale streamflow across the Mississippi River Basin

Contact Info

Product

Resources

About