Warm Season Land Surface — Climate Interactions in the United States Midwest from Mesoscale Observations

Adegoke, Jimmy; Carleton, Andrew M.

doi:10.1007/0-306-48086-7_5

Cited by 9 publications

(3 citation statements)

References 18 publications

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“…Vector data-layer processing routines were used to edge-match and combine the quadrangles to produce a georeferenced digital LU/LC map of the Midwest. Detailed information on the procedures used in the construction of the Midwest LU/LC map is given in Adegoke and Carleton (2000).…”

Section: B Usgs Land Use/land Cover (Lu/lc) Digital Datamentioning

confidence: 99%

Relations between Soil Moisture and Satellite Vegetation Indices in the U.S. Corn Belt

Adegoke¹,

Carleton²

2002

J. Hydrometeor

101

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Satellite-derived vegetation indices extracted over locations representative of midwestern U.S. cropland and forest for the period 1990-94 are analyzed to determine the sensitivity of the indices to neutron probe soil moisture measurements of the Illinois Climate Network (ICN). The deseasoned (i.e., departures from multiyear mean annual cycle) soil moisture measurements are shown to be weakly correlated with the deseasoned full resolution (1 km ϫ 1 km) normalized difference vegetation index (NDVI) and fractional vegetation cover (FVC) data over both land cover types. The association, measured by the Pearson-moment-correlation coefficient, is stronger over forest than over cropland during the growing season (April-September). The correlations improve successively when the NDVI and FVC pixel data are aggregated to 3 km ϫ 3 km, 5 km ϫ 5 km, and 7 km ϫ 7 km areas. The improved correlations are partly explained by the reduction in satellite navigation errors as spatial aggregation occurs, as well as the apparent scale dependence of the NDVI-soil moisture association. Similarly, stronger relations are obtained with soil moisture data that are lagged by up to 8 weeks with respect to the vegetation indices, implying that soil moisture may be a useful predictor of warm season satellite-derived vegetation conditions. This study suggests that a ''long-term'' memory of several weeks is present in the nearsurface hydrological characteristics, especially soil water content, of the Midwest Corn Belt. The memory is integrated into the satellite vegetation indices and may be useful for predicting crop yield estimates and surface temperature anomalies.

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Section: B Usgs Land Use/land Cover (Lu/lc) Digital Datamentioning

confidence: 99%

Relations between Soil Moisture and Satellite Vegetation Indices in the U.S. Corn Belt

Adegoke¹,

Carleton²

2002

J. Hydrometeor

101

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“…Key characteristics of plant stands are biomass, leaf area, the rooting system, etc. (Milly 1997;Adegoke and Carleton 2000;Eckhardt and Ulbrich 2003). Land-use practices such as deforestation, agriculture, and grazing may impact on a local hydrological cycle and climate (Bryant et al 1990;Pielke et al 1991;Vitousek 1994;Pielke et al 1998;Hesslerova et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Distribution of Solar Energy in Agriculture Landscape: Comparison Between Wet Meadow and Crops

Huryna

Hesslerová²,

Pokorný³

et al. 2014

The Role of Natural and Constructed Wetlands in Nutrient Cycling and Retention on the Landscape

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This study examines the impact of plant cover on water and energy exchange between land and atmosphere in the Třeboň Biosphere Reserve, Czech Republic. Energy fluxes, evapotranspiration and evaporative fraction were determined over typical crops of agriculture landscape and compared with fluxes in an adjacent wet meadow. The results show distinct differences in heat and water exchange between these ecosystems. Diurnal average difference in evapotranspiration rates for days with high irradiance over the wet meadow and arable crops ranged from 1.1 mm day À1 to 3.4 mm day À1 . Furthermore, the evapotranspiration differences between C3 (rapeseed) and C4 (cornfield) was about 2.3 mm day À1 . Analysis of thermovision pictures showed that temperature variation reached about 9 C between the ploughed field and meadows at the time of maximum intensity of solar radiation. Heat exchange (sensible heat flux) was greater over arable lands, while water exchange (latent heat flux) was stronger over the wet meadow. The evaporative fraction displayed that more than 100 % of available energy was released by the wet meadow through evapotranspiration due to the advection of dry air from the surroundings. Wetlands show equal or even inverse temperature in vertical profile, whereas corn and wheat show noticeable higher temperature at soil surface in comparison with plant stand surface. Therefore, we suggest that introduction of wetlands to agricultural land is one of the most important instruments for the management of water and heat balance of the landscape.

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“…conserving watershed) but virtually underes mated. The services can be essen al for sustainable adapta on mechanisms to climate change and water stress e ects via proper forest management (Pielke and Avissar, 1990;Adegoke and Carleton, 2000).…”

Section: Introductionmentioning

confidence: 99%

Could Local Perceptions of Water Stress be Explained by LULCC?

R¹

2013

Geoinfor Geostat: An Overview

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Mapping land use/land cover changes (LULCC)is essen al for a wide range land use planning and adapta on mechanisms to global warming/climate change, impacts of natural hazard and socioeconomic dynamics on the local to global scales. In this study, we seek to inves gate whether water stress in the induced savanna of Southwestern, Nigeria as perceived by the various communi es can be explained by LULCchanges in the region. LULCCwas conducted using orthorec

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Warm Season Land Surface — Climate Interactions in the United States Midwest from Mesoscale Observations

Cited by 9 publications

References 18 publications

Relations between Soil Moisture and Satellite Vegetation Indices in the U.S. Corn Belt

Relations between Soil Moisture and Satellite Vegetation Indices in the U.S. Corn Belt

Distribution of Solar Energy in Agriculture Landscape: Comparison Between Wet Meadow and Crops

Could Local Perceptions of Water Stress be Explained by LULCC?

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