Relating remotely‐sensed vegetation and soil moisture indices to surface energy fluxes in vicinity of an atmospheric dryline

Rabin, Robert M.; Burns, Barbara A.; Collimore, Chris; Diak, George R.; Raymond, William H.

doi:10.1080/02757250009532383

Cited by 3 publications

(1 citation statement)

References 29 publications

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“…Many researchers have attempted to create and test methodologies for the measurement or calculation of surface fluxes through satellite remote sensing devices (e.g., Brutsaert et al, 1993;Pelgrum and Bastiaanssen, 1996;Chehbouni et al, 1997;Doran et al, 1998;Gao et al, 1998;Rabin et al, 2000;Ridder, 2000;Roerink and Menenti., 2000;Song and Wesely, 2003;Diak et al, 2004). These methods can be either universal (i.e.…”

Section: Effect Of Soil Moisture On Surface Forcingmentioning

confidence: 99%

A Case Study on the Effects of Heterogeneous Soil Moisture on Mesoscale Boundary-Layer Structure in the Southern Great Plains, U.S.A. Part I: Simple Prognostic Model

Desai

Davis

Senff³

et al. 2005

Boundary-Layer Meteorol

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The atmospheric boundary-layer (ABL) depth was observed by airborne lidar and balloon soundings during the Southern Great Plains 1997 field study (SGP97). This paper is Part I of a two-part case study examining the relationship of surface heterogeneity to observed ABL structure. Part I focuses on observations. During two days (12-13 July 1997) following rain, midday convective ABL depth varied by as much as 1.5 km across 400 km, even with moderate winds. Variability in ABL depth was driven primarily by the spatial variation in surface buoyancy flux as measured from short towers and aircraft within the SGP97 domain. Strong correlation was found between time-integrated buoyancy flux and airborne remotely sensed surface soil moisture for the two case-study days, but only a weak correlation was found between surface energy fluxes and vegetation greenness as measured by satellite. A simple prognostic one-dimensional ABL model was applied to test to what extent the soil moisture spatial heterogeneity explained the variation in north-south ABL depth across the SGP97 domain. The model was able to better predict mean ABL depth and variations on horizontal scales of approximately 100 km using observed soil moisture instead of constant soil moisture. Subsidence, advection, convergence/divergence and spatial variability of temperature inversion strength also contributed to ABL depth variations. In Part II, assimilation of high-resolution soil moisture into a three-dimensional mesoscale model (MM5) is discussed and shown to improve predictions of ABL structure. These results have implications for ABL models and the influence of soil moisture on mesoscale meteorology.

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Section: Effect Of Soil Moisture On Surface Forcingmentioning

confidence: 99%

A Case Study on the Effects of Heterogeneous Soil Moisture on Mesoscale Boundary-Layer Structure in the Southern Great Plains, U.S.A. Part I: Simple Prognostic Model

Desai

Davis

Senff³

et al. 2005

Boundary-Layer Meteorol

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Progress of Research on Qinghai-Tibet Plateau Satellite Remote Sensing

Wang¹,

Han

2012

2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering

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Some research achievements in satellite remote sensing in Tibetan Plateau are described in this paper. It mainly covers remote sensing of the surface characteristic parameters, remote sensing of vegetation parameters, and remote sensing of snow parameters. Besides those, the problems demanding prompt solution about the applications of satellite data over Tibetan Plateau are given. I. ForewordKnown as the "Roof of the World" and the "Third Pole of the Earth", the Qinghai-Tibet Plateau has an average altitude above 4000m. The driving force of tall terrain, coupled with the powerful ground heat effect of the plateau make the region's land-atmosphere interaction process, particularly the energy-water cycle exert a great impact on Asian monsoon, the East Asian atmospheric circulation and global climate change. For a long time, due to the harsh natural conditions, it is difficult to carry out systematic observation on the plateau surface characteristic parameters and land-atmosphere energy exchange characteristics; the relatively short history of the existing observational data, sparse and unevenly distributed observation sites make people have little knowledge of the plateau surface characteristics. Relying on its capability of real-time, continuous and accurate access to a wide range of surface information, satellite remote sensing has provided a possible means to acquire the surface characteristic parameters of Qinghai-Tibet Plateau. By referring to the results of related studies, this paper has summarized the application status quo of satellite remote sensing technology in Qinghai-Tibet Plateau in terms of the plateau surface characteristic parameter remote sensing, surface vegetation parameters remote sensing and surface snow and ice remote sensing. II. Inversion of Surface Characteristic Parameter Sensing A. Surface albedoAs an important parameters widely used in surface energy balance, medium and long-term weather forecasting and global change research, surface albedo is a key component of earth radiation field. For the determination of a wide range of instantaneous surface albedo or the average surface albedo in a certain time period mainly include two approaches, namely, climatology calculation [1] and aerial remote sensing [2,3] . As early as 1960s, Chen Longxun, et al analyzed and calculated the surface albedo distribution of Qinghai-Tibet Plateau; Xie Xianqun applied the Qinghai-Tibet Plateau Meteorological Science data to carry out systematic study of the plateau albedo; and the second Qinghai-Tibet Plateau atmospheric scientific experiment also made some analysis and research on the plateau albedo; however, these studies are mostly confined to a limited short period, or just calculated an average value [4] .Relative to climatology, with the advantage of a wide range simultaneous observation, the surface albedo calculation results of aerial remote sensing have a higher accuracy; currently, the use of satellite remote sensing of surface albedo inversion is more mature [5] . There are two main approaches to ...

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Estimating Soil Wetness from the GOES Sounder

Rabin

Schmit

2006

Journal of Atmospheric and Oceanic Technology

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In this note, the relationship between the observed daytime rise in surface radiative temperature, derived from the Geostationary Operational Environmental Satellites (GOES) sounder clear-sky data, and modeled soil moisture is explored over the continental United States. The motivation is to provide an infrared (IR) satellite–based index for soil moisture, which has a higher resolution than possible with the microwave satellite data. The daytime temperature rise is negatively correlated with soil moisture in most areas. Anomalies in soil moisture and daytime temperature rise are also negatively correlated on monthly time scales. However, a number of exceptions to this correlation exist, particularly in the western states. In addition to soil moisture, the capacity of vegetation to generate evapotranspiration influences the amount of daytime temperature rise as sensed by the satellite. In general, regions of fair to poor vegetation health correspond to the relatively high temperature rise from the satellite. Regions of favorable vegetation match locations of lower-than-average temperature rise.

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Relating remotely‐sensed vegetation and soil moisture indices to surface energy fluxes in vicinity of an atmospheric dryline

Cited by 3 publications

References 29 publications

A Case Study on the Effects of Heterogeneous Soil Moisture on Mesoscale Boundary-Layer Structure in the Southern Great Plains, U.S.A. Part I: Simple Prognostic Model

A Case Study on the Effects of Heterogeneous Soil Moisture on Mesoscale Boundary-Layer Structure in the Southern Great Plains, U.S.A. Part I: Simple Prognostic Model

Progress of Research on Qinghai-Tibet Plateau Satellite Remote Sensing

Estimating Soil Wetness from the GOES Sounder

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