Biosphere-atmosphere Transfer Scheme (BATS) Version 1e as Coupled to the NCAR Community Climate Model

Dickinson, Edwin; Henderson‐Sellers, A.; Kennedy, James S.

doi:10.5065/d67w6959

Cited by 238 publications

(43 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Noah-MP simulates up to three ground snowpack layers by accounting for sublimation, frost, melting, interlayer movement of meltwater, and layer compaction. The snow albedo is computed by either the CLASS scheme (Verseghy, 1991) or the Biosphere-Atmosphere Transfer Scheme (BATS; Dickinson et al, 1993), both accounting for the albedo decay due to snow aging. The snow cover fraction on the ground is determined by snow density, snow depth, and tunable snow cover parameters (Niu & Yang, 2007).…”

Section: Noah-mp Model Descriptionmentioning

confidence: 99%

What Causes the Unobserved Early‐Spring Snowpack Ablation in Convection‐Permitting WRF Modeling Over Utah Mountains?

Chen

Abolafia‐Rosenzweig

et al. 2021

JGR Atmospheres

View full text Add to dashboard Cite

show abstract

Section: Noah-mp Model Descriptionmentioning

confidence: 99%

What Causes the Unobserved Early‐Spring Snowpack Ablation in Convection‐Permitting WRF Modeling Over Utah Mountains?

Chen

Abolafia‐Rosenzweig

et al. 2021

JGR Atmospheres

View full text Add to dashboard Cite

show abstract

“…In the first group, there are two options with a groundwater component (Niu et al, 2005(Niu et al, , 2007 as used in the Community Land Model (CLM) (Oleson et al, 2004). In the second group, the two options follow the Noah LSM (Chen & Dudhia, 2001) and the Biosphere Atmosphere Transfer System (BATS) (Dickinson et al, 1993), respectively. The three β-factor options are adopted from CLM (Oleson et al, 2004), Noah (Chen & Dudhia, 2001), and Simplified Simple Biosphere (SSiB) model (Xue et al, 1991).…”

Section: Noah-mp Lsmmentioning

confidence: 99%

Falsification‐Oriented Signature‐Based Evaluation for Guiding the Development of Land Surface Models and the Enhancement of Observations

Zheng

Yang

Lin

et al. 2020

J Adv Model Earth Syst

View full text Add to dashboard Cite

We develop a novel framework for rigorously evaluating land surface models (LSMs) against observations by recognizing the asymmetry between verification-and falsification-oriented approaches. The former approach cannot completely verify LSMs even though it exhausts every case of consistency between the model predictions and observations, whereas the latter only requires a single case of inconsistency to reveal that there must be something wrong. We argue that it is such an inconsistency that stimulates further development of the models and enhancement of the observations. We therefore propose a falsification-oriented signature-based evaluation framework to identify cases of inconsistency between model predictions and observations by extracting signatures based on a set of key assumptions. We apply this framework to evaluate an ensemble of simulations from the Noah-MP LSM against observations over the continental United States under the three assumptions of water mass conservation, no lateral water flow, and a sufficiently long period of time. Regions showing inconsistencies between the Noah-MP ensemble simulations and the observations are located in the western mountainous areas, the Yellowstone river basin, the lower Floridan aquifer, the Niobrara river basin at the north tip of the Ogallala aquifer, and the basins downstream of the Balcones fault zones in Texas. These regions coincide with the sites where both advances in theoretical modeling and new observational data (e.g., from the Critical Zone Observatories) have emerged. Plain Language Summary We propose a framework for locating regions that require substantial efforts in modeling and observations. The framework is based on the fact that a single case of inconsistency between model predictions and observations always indicates that there must be something wrong. Such an consistency can stimulate and guide further development of models and enhancement of observations. An application over the continental United States shows that the identified regions encompass the areas where both theoretical modeling advancements and observational data from the Critical Zone Observatories have emerged. The results also suggest the need to extend the observatories over the Balcones fault zones in Texas and the Floridan aquifer in Florida.

show abstract

“…These bins are 0.01-1 µm, 1-2.5 µm, 2.5-5.0 µm and 5.0-20.0 µm. For the present study simulations over the South and Southwest Asia domain (latitude 10.81°S -46.23°N , longitude 11.28 -113.27°E) were carried out at a spatial resolution of 60 kilometer forced by 6-hourly meteorological fields from NCEP/NCAR reanalysis [Kalney et al, 1996] and land surface data from Biosphere-Atmosphere Transfer Scheme (BATS) [Dickinson et al, 1993]. For our present study we compared the simulated τ du with τ du from MODIS/Aqua.…”

Section: Simulation Of Dust Depositionmentioning

confidence: 99%

Dust‐induced episodic phytoplankton blooms in the Arabian Sea during winter monsoon

Banerjee

Kumar

2014

JGR Oceans

View full text Add to dashboard Cite

Phytoplankton blooms mediated by the oceanic supply of nutrients is a well-understood phenomenon in the Arabian Sea (AS), while the role of dust deposition in enhancing phytoplankton is less explored. In this paper, we show that during winter monsoon the central Arabian Sea (CAS), away from the realm of active winter convection, supports episodic phytoplankton blooms. These blooms cannot be fully explained by the oceanic input of nutrients through processes such as advection and mixing in the upper ocean. Using satellite images, we tracked about 45 dust storms over the AS during the winter monsoons of 2002-2003 to 2010-2011 of which only eight were followed by chlorophyll enhancements. We used a regional climate model to get possible fluxes of dust and the amount of nutrients (nitrate, phosphate, and iron) that can be derived from the dust depositions. Additionally, we used published in situ nutrients data in conjunction with carbon: nitrogen: phosphorus and iron: carbon molar ratios to compute the potential requirements of different nutrients for the eight cases of chlorophyll enhancements. It is likely that the deepening of the mixed layer can incorporate nitrate and phosphate, but not enough iron from the subsurface waters leading to potential iron limitation. Although, all the phytoplankton blooms within CAS were observed following episodic dust events, only four blooms can be attributed to dust depositions. Our work shows that phytoplankton blooms fueled by episodic dust storms are important in driving the interannual variability in chlorophyll in a region away from active winter convection.

show abstract

Biosphere-atmosphere Transfer Scheme (BATS) Version 1e as Coupled to the NCAR Community Climate Model

Cited by 238 publications

References 0 publications

What Causes the Unobserved Early‐Spring Snowpack Ablation in Convection‐Permitting WRF Modeling Over Utah Mountains?

What Causes the Unobserved Early‐Spring Snowpack Ablation in Convection‐Permitting WRF Modeling Over Utah Mountains?

Falsification‐Oriented Signature‐Based Evaluation for Guiding the Development of Land Surface Models and the Enhancement of Observations

Dust‐induced episodic phytoplankton blooms in the Arabian Sea during winter monsoon

Contact Info

Product

Resources

About