An Overview of the Land Surface Processes Experiment (Laspex) over a Semi-Arid Region of India

Vernekar, K. G.; Sinha, S. K.; Sadani, L. K.; Sivaramakrishnan, S.; Parasnis, Surendra S.; Mohan, Brij; Dharmaraj, T.; Patil, M. N.; Pillai, J. S.; Murthy, B. S.; Debaje, S.B.; Bagavathsingh, A.

doi:10.1023/a:1021283503661

Cited by 39 publications

(19 citation statements)

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“…This positive bias for R N is significantly higher than that seen for the incoming radiation fluxes. The specified surface albedo of 18% for this vegetation category is lower than the LASPEX site noontime estimates (≈22%; Vernekar et al 2003). Also the moisture availability parameter g w for this land-use type indicates fairly wet surface conditions (g w = 50% of saturation).…”

Section: Methodsmentioning

confidence: 59%

“…LASPEX was conducted over a semi-arid region in the north-western part of India centered over Anand (22.58 • N, 72.92 • E; 45.1 m above sea level), Gujarat state. An extensive series of micrometeorological tower observations, soil and vegetation parameters, radiation, turbulence and upper air observations were made at Anand and four other adjoining stations during 1997-1998 (Vernekar et al 2003). From the several sets of LASPEX surface and upper air data available for the Anand site during the 5 day intensive observation periods (IOPs) of every month, selected parameters for 16 May 1997 are used.…”

Section: Laspex Observationsmentioning

confidence: 99%

“…They found that increasing the complexity of the turbulence parameterizations did not improve the overall accuracy of forecasts. The data collected during the Land Surface Processes Experiment (LASPEX; Vernekar et al 2003) in a semi-arid region of the state of Gujarat in north-west India provide an opportunity to perform a similar analysis over the Indian region. This dataset has been already used to validate the simulations of large-scale three-dimensional (e.g.…”

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confidence: 99%

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Assessment of Atmospheric Boundary-Layer Processes Represented in the Numerical Model MM5 for a Clear Sky Day Using LASPEX Observations

Sanjay

2008

Boundary-Layer Meteorol

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Data collected during the Land Surface Processes Experiment (LASPEX) in a semi-arid region of the state of Gujarat in north-west India for a clear sky day (16 May 1997) are used to assess the performance of the atmospheric boundary-layer (ABL) and landsurface parameterizations in the fifth-generation Pennsylvania State University-National Center for Atmospheric Research (PSU-NCAR) Mesoscale Model (MM5). The ABL turbulence parameterizations examined are the Blackadar scheme coupled to a simple soil slab model (SSM), and the Troen-Mahrt scheme coupled to SSM or to the more sophisticated Noah land-surface model (NSM). The comparison of several two-way nested high resolution (9-km) MM5 short term 24-h simulations indicate that, although the model is able to capture the trend in the observed data, the computed results deviate from observations. The NSM with a modest treatment of vegetation outperforms the SSM in capturing the observed daily variations in surface heat fluxes and aspects of ABL structure over the tropical land surface at local scales. Detailed analysis showed that, with the incorporation of observed local vegetation and soil characteristics, the NSM reproduced a realistic surface energy balance and near-surface temperature. It is further found that the coupling of the NSM with the Troen-Mahrt ABL scheme leads to excessive ABL mixing and a dry bias in the model simulations.

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Section: Methodsmentioning

confidence: 59%

Section: Laspex Observationsmentioning

confidence: 99%

mentioning

confidence: 99%

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Assessment of Atmospheric Boundary-Layer Processes Represented in the Numerical Model MM5 for a Clear Sky Day Using LASPEX Observations

Sanjay

2008

Boundary-Layer Meteorol

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“…Land surface processes in tropical regions assume importance as weather and climate in these regions is highly influenced by tropical convection. Micrometeorological observation systems facilitate measurement of the exchange of radiation, energy and water in a local-scale footprint (0.5-1.0 km 2 ) useful in characterization of the land surface processes (GOEL and SRIVASTAVA 1990;VERNEKAR et al 2003;BHATTACHARYA et al 2009). In the tropical to sub-tropical Indian context a few micrometeorological experiments such as MONTBLEX-90 (SIKKA and NARASIMHA 1995) along the region of monsoon trough, LASPEX-97 (VERNEKAR et al 2003) in the semi-arid region of Gujarat have been conducted to study the land surface and boundary-layer processes.…”

Section: Introductionmentioning

confidence: 99%

Land Surface Processes Simulation Over Thar Desert in Northwest India

Raja

Srinivas

Prasad

et al. 2016

Pure Appl. Geophys.

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Land surface processes in data scarce arid northwestern India and their influence on the regional climate including monsoon are now gaining enhanced scientific attention. In this work the seasonal variation of land surface parameters and surface-energy flux components over Lasiurus sindicus grassland system in Thar Desert, western India were simulated using the mesoscale WRF model. The data on surface fluxes from a micrometeorological station, and basic surface level weather data from the Central Arid Zone Research Institute's experimental field station (26 o 59 0 41 00 N; 71 o 29 0 10 00 E), Jaisalmer, were used for comparison. Simulations were made for typical fair weather days in three seasons [12-14 January (peak winter); 29-31 May (peak summer), 19-21 August (monsoon)] during 2012. Sensitivity experiments conducted using a 5-layer soil thermal diffusion (5TD) scheme and a comprehensive land surface physics scheme (Noah) revealed the 5TD scheme gives large biases in surface fluxes and other land surface parameters. Simulations show large variations in surface fluxes and meteorological parameters in different seasons with high friction velocities, sensible heat fluxes, deep boundary layers in summer and monsoon season as compared to winter. The shortwave radiation is underestimated during the monsoon season, and is overestimated in winter and summer. In general, the model simulated a cold bias in soil temperature in summer and monsoon season and a warm bias in winter; the simulated surface fluxes and air temperature followed these trends. These biases could be due to a negative bias in net radiation resulting from a high bias in downward shortwave radiation in various seasons. The Noah LSM simulated various parameters more realistically in all seasons than the 5TD soil scheme due to inclusion of explicit vegetation processes in the former. The differences in the simulated fluxes with the two LSMs are small in winter and large in summer. The deep mixed layers are distributed in the northeastern parts in summer, northern areas in southwest monsoon and in southwestern parts during winter seasons and associated with the land-cover and vegetation dynamics. Our results present a baseline simulation study in this data scarce arid region.

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“…Wen (jwen@lzb.ac.cn) where agriculture has been well developed and has been supporting one-twelfth of the Chinese population (Qian, 1991). Many land surface process studies have been conducted worldwide (Gao et al, 2003;Vernekar et al, 2002;Yang et al, 2004), of which few is on the loess plateau because of its complex underlying surface. However, a land surface process study in this loess mesa region would be a significant contribution to understanding the characteristics of land surface energy balance, land surface parameterization, water cycle, and soil conservation over the Chinese Loess Plateau.…”

Section: Introductionmentioning

confidence: 99%

An overview of the LOess Plateau mesa region land surface process field EXperiment series (LOPEXs)

Wen

Wang

Wei

2009

Hydrol. Earth Syst. Sci.

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Abstract.A series of land surface process field experiments were carried out in a mesa region of the Chinese Loess Plateau in each of the years from 2004 to 2008 (acronymized as LOPEX04, LOPEX08, etc.). The general objectives of this series of experiments, observational data sets, and preliminary science results are presented in this paper. The prospective research topics by using the LOPEXs data sets are discussed.

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An Overview of the Land Surface Processes Experiment (Laspex) over a Semi-Arid Region of India

Cited by 39 publications

References 20 publications

Assessment of Atmospheric Boundary-Layer Processes Represented in the Numerical Model MM5 for a Clear Sky Day Using LASPEX Observations

Assessment of Atmospheric Boundary-Layer Processes Represented in the Numerical Model MM5 for a Clear Sky Day Using LASPEX Observations

Land Surface Processes Simulation Over Thar Desert in Northwest India

An overview of the LOess Plateau mesa region land surface process field EXperiment series (LOPEXs)

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