Ecosystem Feedbacks to Climate Change in California: Development, Testing, and Analysis Using a Coupled Regional Atmosphere and Land Surface Model (WRF3–CLM3.5)

Subin, Z. M.; Riley, William J.; Jin, Jiming; Christianson, Danielle; Torn, M. S.; Kueppers, Lara M.

doi:10.1175/2010ei331.1

Cited by 51 publications

(43 citation statements)

References 96 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…CLM has also been coupled to the WRF model (Skamarock et al, 2008) to simulate the regional climate of the western US (Leung et al, 2006;Jin et al, 2010;Subin et al, 2011). In the previous implementation of WRF-CLM, CLM was coupled to WRF through a subroutine call from WRF to CLM as one of a few options for land surface modeling.…”

Section: Regional Climate Simulationmentioning

confidence: 99%

“…In the previous implementation of WRF-CLM, CLM was coupled to WRF through a subroutine call from WRF to CLM as one of a few options for land surface modeling. Because the CLM surface parameters were only available at 0.5 • resolution, Subin et al (2011) used various land surface datasets developed for WRF to prescribe surface parameters for WRF-CLM. For example, they used a fixed mapping from WRF's 24 US Geological Survey (USGS) land-use categories to groups of up to 4 of CLM's 17 PFTs.…”

Section: Regional Climate Simulationmentioning

confidence: 99%

See 1 more Smart Citation

Development of high resolution land surface parameters for the Community Land Model

Leung

Huang

et al. 2012

Geosci. Model Dev.

View full text Add to dashboard Cite

Abstract. There is a growing need for high-resolution land surface parameters as land surface models are being applied at increasingly higher spatial resolution offline as well as in regional and global models. The default land surface parameters for the most recent version of the Community Land Model (i.e. CLM 4.0) are at 0.5 • or coarser resolutions, released with the Community Earth System Model (CESM). Plant Functional Types (PFTs), vegetation properties such as Leaf Area Index (LAI), Stem Area Index (SAI), and nonvegetated land covers were developed using remotely sensed datasets retrieved in late 1990's and the beginning of this century. In this study, we developed new land surface parameters for CLM 4.0, specifically PFTs, LAI, SAI and non-vegetated land cover composition, at 0.05 • resolution globally based on the most recent MODIS land cover and improved MODIS LAI products. Compared to the current CLM 4.0 parameters, the new parameters produced a decreased coverage by bare soil and trees, but an increased coverage by shrub, grass, and cropland. The new parameters result in a decrease in global seasonal LAI, with the biggest decrease in boreal forests; however, the new parameters also show a large increase in LAI in tropical forest. Differences between the new and the current parameters are mainly caused by changes in the sources of remotely sensed data and the representation of land cover in the source data. Advantages and disadvantages of each dataset were discussed in order to provide guidance on the use of the data. The new high-resolution land surface parameters have been used in a coupled landatmosphere model (WRF-CLM) applied to the western US to demonstrate their use in high-resolution modeling. A remapping method from the latitude/longitude grid of the CLM data to the WRF grids with map projection was also demonstrated. Future work will include global offline CLM simulations to examine the impacts of source data resolution and subsequent land parameter changes on simulated land surface processes.

show abstract

Section: Regional Climate Simulationmentioning

confidence: 99%

Section: Regional Climate Simulationmentioning

confidence: 99%

Development of high resolution land surface parameters for the Community Land Model

Leung

Huang

et al. 2012

Geosci. Model Dev.

View full text Add to dashboard Cite

show abstract

“…It has been argued that the relevant spatial scale for hydrological state and flux heterogeneity is on the order of 100 m (Wood et al, 2011), while for biogeochemical dynamics it may be as small as 1 m (Burt and Pinay, 2005;Groffman et al, 2009;Frei et al, 2012;McClain et al, 2003). The current suite of land models representing coupled hydrological and biogeochemical cycles and used for analyses of water resources and water quality (e.g., HydroGeoSphere (Li et al, 2008(Li et al, ),al., 2006, MIKE-SHE (McMichael et al, 2006), WEP-L (Jia et al, 2006), and PAWS (Shen, 2009;Shen and Phanikumar, 2010)), as well as regional (e.g., Subin et al, 2011) and global (e.g., Koven et al, 2013;Tang et al, 2013) climate prediction are typically applied at resolutions that are orders of magnitude larger than these scales. Unfortunately, there are few large-scale observational datasets with which to test the impact of the discrepancies in scale between model representation and known variability of coupled hydrological and biogeochemical processes.…”

Section: Introductionmentioning

confidence: 99%

Characterizing coarse-resolution watershed soil moisture heterogeneity using fine-scale simulations

Riley

2014

Hydrol. Earth Syst. Sci.

Self Cite

View full text Add to dashboard Cite

Abstract. Watershed-scale hydrological and biogeochemical models are usually discretized at resolutions coarser than where significant heterogeneities in topography, abiotic factors (e.g., soil properties), and biotic (e.g., vegetation) factors exist. Here we report on a method to use fine-scale (220 m grid cells) hydrological model predictions to build reduced-order models of the statistical properties of nearsurface soil moisture at coarse resolution (2 5 times coarser, ∼ 7 km). We applied a watershed-scale hydrological model (PAWS-CLM4) that has been previously tested in several watersheds. Using these simulations, we developed simple, relatively accurate (R 2 ∼ 0.7-0.8), reduced-order models for the relationship between mean and higher-order moments of near-surface soil moisture during the nonfrozen periods over five years. When applied to transient predictions, soil moisture variance and skewness were relatively accurately predicted (R 2 ∼ 0.7-0.8), while the kurtosis was less accurately predicted (R 2 ∼ 0.5). We also tested 16 system attributes hypothesized to explain the negative relationship between soil moisture mean and variance toward the wetter end of the distribution and found that, in the model, 59 % of the variance of this relationship can be explained by the elevation gradient convolved with mean evapotranspiration. We did not find significant relationships between the time rate of change of soil moisture variance and covariances between mean moisture and evapotranspiration, drainage, or soil properties, as has been reported in other modeling studies. As seen in previous observational studies, the predicted soil moisture skewness was predominantly positive and negative in drier and wetter regions, respectively. In individual coarse-resolution grid cells, the transition between positive and negative skewness occurred at a mean soil moisture of ∼ 0.25-0.3. The type of numerical modeling experiments presented here can improve understanding of the causes of soil moisture heterogeneity across scales, and inform the types of observations required to more accurately represent what is often unresolved spatial heterogeneity in regional and global hydrological models.

show abstract

“…RegCM3 was also coupled to IBIS (Integrated Biosphere Simulator) which led to a better simulation of latent heat flux over North America, although biases were increased for surface temperature and sensible heat flux (Winter et al, 2009). Finally, in a coupling between WRF3 (Weather Research and Forecasting model version 3) and CLM3.5 (Community Land Model version 3.5), Subin et al (2011) illustrated the usefulness of RCMs to study the impact of land cover change on climate at the regional scale.…”

Section: Introductionmentioning

confidence: 99%

Role of land surface processes and diffuse/direct radiation partitioning in simulating the European climate

Davin

Seneviratne

2012

Biogeosciences

View full text Add to dashboard Cite

Abstract. The influence of land processes and in particular of diffuse/direct radiation partitioning on surface fluxes and associated regional-scale climate feedbacks is investigated using ERA-40 driven simulations over Europe performed with the COSMO-CLM 2 Regional Climate Model (RCM). Two alternative Land Surface Models (LSMs), a 2nd generation LSM (TERRA ML) and a more advanced 3rd generation LSM (Community Land Model version 3.5), and two versions of the atmospheric component are tested, as well as a revised coupling procedure allowing for variations in diffuse/direct light partitioning at the surface, and their accounting by the land surface component.Overall, the RCM performance for various variables (e.g., surface fluxes, temperature and precipitation) is improved when using the more advanced 3rd generation LSM. These improvements are of the same order of magnitude as those arising from a new version of the atmospheric component, demonstrating the benefit of using a realistic representation of land surface processes for regional climate simulations. Taking into account the variability in diffuse/direct light partitioning at the surface further improves the model performance in terms of summer temperature variability at the monthly and daily time scales. Comparisons with observations show that the RCM realistically captures temporal variations in diffuse/direct light partitioning as well as the evapotranspiration sensitivity to these variations. Our results suggest that a modest but consistent fraction (up to 3 %) of the overall variability in summer temperature can be explained by variations in the diffuse to direct ratio.

show abstract

Ecosystem Feedbacks to Climate Change in California: Development, Testing, and Analysis Using a Coupled Regional Atmosphere and Land Surface Model (WRF3–CLM3.5)

Cited by 51 publications

References 96 publications

Development of high resolution land surface parameters for the Community Land Model

Development of high resolution land surface parameters for the Community Land Model

Characterizing coarse-resolution watershed soil moisture heterogeneity using fine-scale simulations

Role of land surface processes and diffuse/direct radiation partitioning in simulating the European climate

Contact Info

Product

Resources

About