Putting aquifers into atmospheric simulation models: an example from the Mill Creek Watershed, northeastern Kansas

York, J.; Person, Mark; Gutowski, William J.; Winter, Thomas C.

doi:10.1016/s0309-1708(01)00021-5

Cited by 170 publications

(157 citation statements)

References 58 publications

Supporting

Mentioning

144

Contrasting

Order By: Relevance

“…In the future, the technique of Huang et al (2003) can be used to determine the spatial distribution of the VIC parameters based on soil properties described in the STATSGO dataset and DEM data. (e.g., Gutowski et al 2002;York et al 2002;Fan et al 2007;Niu et al 2006). These approaches are also computationally efficient, but interactions between surface water and groundwater cannot be fully represented due to its one-way coupling nature-that is, equations for the unsaturated and saturated zones are solved independently.…”

Section: Mm5-vic Couplingmentioning

confidence: 99%

Climate–soil–vegetation control on groundwater table dynamics and its feedbacks in a climate model

et al. 2010

View full text Add to dashboard Cite

Among the three dynamically linked branches of the water cycle, including atmospheric, surface, and subsurface water, groundwater is the largest reservoir and an active component of the hydrologic system. Because of the inherent slow response time, groundwater may be particularly relevant for long time-scale processes such as multi-years or decadal droughts. This study uses regional climate simulations with and without surface watergroundwater interactions for the conterminous US to assess the influence of climate, soil, and vegetation on groundwater table dynamics, and its potential feedbacks to regional climate. Analyses show that precipitation has a dominant influence on the spatial and temporal variations of groundwater table depth (GWT). The simulated GWT is found to decrease sharply with increasing precipitation. Our simulation also shows some distinct spatial variations that are related to soil porosity and hydraulic conductivity. Vegetation properties such as minimum stomatal resistance, and root depth and fraction are also found to play an important role in controlling the groundwater table.Comparing two simulations with and without groundwater table dynamics, we find that groundwater table dynamics mainly influences the partitioning of soil water between the surface (0-0.5 m) and subsurface (0.5-5 m) rather than total soil moisture. In most areas, groundwater table dynamics increases surface soil moisture at the expense of the subsurface, except in regions with very shallow groundwater table. The change in soil water partitioning between the surface and subsurface is found to strongly correlate with the partitioning of surface sensible and latent heat fluxes. The evaporative fraction (EF) is generally higher during summer when groundwater table dynamics is included. This is accompanied by increased cloudiness, reduced diurnal temperature range, cooler surface temperature, and increased cloud top height. Although both convective and non-convective precipitation are enhanced, the higher EF changes the partitioning to favor more non-convective precipitation, but this result could be sensitive to the convective parameterization used. Compared to simulations without groundwater table dynamics, the dry bias in the summer precipitation is slightly reduced over the central and eastern US Groundwater table dynamics can provide important feedbacks to atmospheric processes, and these feedbacks are stronger in regions with deeper groundwater table, because the interactions between surface and subsurface are weak when the groundwater table is deep. This increases the sensitivity of surface soil moisture to precipitation anomalies, and therefore enhances land surface feedbacks to the atmosphere through changes in soil moisture and evaporative fraction. By altering the groundwater table depth, land use change and groundwater withdrawal can alter land surface response and feedback to the climate system.

show abstract

Section: Mm5-vic Couplingmentioning

confidence: 99%

Climate–soil–vegetation control on groundwater table dynamics and its feedbacks in a climate model

et al. 2010

View full text Add to dashboard Cite

show abstract

“…Thus, a shallow water table would have more of an effect on the soil moisture profile than a deep one (Chen and Hu 2004). Shallow water tables also provide water for evapotranspiration and are more likely to result in runoff from saturation excess York et al 2002;Liang et al 2003;Chen and Hu 2004). In fact, runoff was found to be more related to water table depth than to precipitation (Eltahir and Yeh 1999).…”

Section: Introductionmentioning

confidence: 98%

“…Some models (e.g., Gutowski et al 2002;York et al 2002) explicitly model the three-dimensional flow of groundwater, but these are computationally expensive to implement into GCMs . These have largely been implemented into regional models with finer horizontal resolution since horizontal transport is more important at these smaller scales Yeh and Eltahir 2005).…”

Section: Introductionmentioning

confidence: 99%

Implementing and Evaluating Variable Soil Thickness in the Community Land Model, Version 4.5 (CLM4.5)

et al. 2016

View full text Add to dashboard Cite

One of the recognized weaknesses of land surface models as used in weather and climate models is the assumption of constant soil thickness because of the lack of global estimates of bedrock depth. Using a 30-arc-s global dataset for the thickness of relatively porous, unconsolidated sediments over bedrock, spatial variation in soil thickness is included here in version 4.5 of the Community Land Model (CLM4.5). The number of soil layers for each grid cell is determined from the average soil depth for each 0.98 latitude 3 1.258 longitude grid cell. The greatest changes in the simulation with variable soil thickness are to baseflow, with the annual minimum generally occurring earlier. Smaller changes are seen in latent heat flux and surface runoff primarily as a result of an increase in the annual cycle amplitude. These changes are related to soil moisture changes that are most substantial in locations with shallow bedrock. Total water storage (TWS) anomalies are not strongly affected over most river basins since most basins contain mostly deep soils, but TWS anomalies are substantially different for a river basin with more mountainous terrain. Additionally, the annual cycle in soil temperature is partially affected by including realistic soil thicknesses resulting from changes in the vertical profile of heat capacity and thermal conductivity. However, the largest changes to soil temperature are introduced by the soil moisture changes in the variable soil thickness simulation. This implementation of variable soil thickness represents a step forward in land surface model development.

show abstract

“…Two-dimensional diffusive groundwater models have been employed, but at smaller scales and mostly for regional applications Habets et al, 2008;Miguez-Macho et al, 2007;York et al, 2002). Such models are generally made for fine resolution grids using many parameters calibrated against insitu measurements, and so are not yet suitable for large scale application.…”

mentioning

confidence: 99%

A simple groundwater scheme in the TRIP river routing model: global off-line evaluation against GRACE terrestrial water storage estimates and observed river discharges

Vergnes

Decharme

2012

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Groundwater is a non-negligible component of the global hydrological cycle, and its interaction with overlying unsaturated zones can influence water and energy fluxes between the land surface and the atmosphere. Despite its importance, groundwater is not yet represented in most climate models. In this paper, the simple groundwater scheme implemented in the Total Runoff Integrating Pathways (TRIP) river routing model is applied in off-line mode at global scale using a 0.5 • model resolution. The simulated river discharges are evaluated against a large dataset of about 3500 gauging stations compiled from the Global Data Runoff Center (GRDC) and other sources, while the terrestrial water storage (TWS) variations derived from the Gravity Recovery and Climate Experiment (GRACE) satellite mission help to evaluate the simulated TWS. The forcing fields (surface runoff and deep drainage) come from an independent simulation of the Interactions between Soil-Biosphere-Atmosphere (ISBA) land surface model covering the period from 1950 to 2008. Results show that groundwater improves the efficiency scores for about 70 % of the gauging stations and deteriorates them for 15 %. The simulated TWS are also in better agreement with the GRACE estimates. These results are mainly explained by the lag introduced by the lowfrequency variations of groundwater, which tend to shift and smooth the simulated river discharges and TWS. A sensitivity study on the global precipitation forcing used in ISBA to produce the forcing fields is also proposed. It shows that the groundwater scheme is not influenced by the uncertainties in precipitation data.

show abstract

Putting aquifers into atmospheric simulation models: an example from the Mill Creek Watershed, northeastern Kansas

Cited by 170 publications

References 58 publications

Climate–soil–vegetation control on groundwater table dynamics and its feedbacks in a climate model

Climate–soil–vegetation control on groundwater table dynamics and its feedbacks in a climate model

Implementing and Evaluating Variable Soil Thickness in the Community Land Model, Version 4.5 (CLM4.5)

A simple groundwater scheme in the TRIP river routing model: global off-line evaluation against GRACE terrestrial water storage estimates and observed river discharges

Contact Info

Product

Resources

About