Regional‐scale estimates of surface moisture availability and thermal inertia using remote thermal measurements

1986 ◽  
Vol 1 (2) ◽  
pp. 197-247 ◽  
Author(s):  
Toby N. Carlson
Keyword(s):  
Regional Scale ◽  
Thermal Inertia ◽  
Surface Moisture ◽  
Moisture Availability ◽  
Thermal Measurements

scholarly journals Projections of a Wetter Sahel in the Twenty-First Century from Global and Regional Models

2013 ◽  
Vol 26 (13) ◽  
pp. 4664-4687 ◽  
Author(s):  
Edward K. Vizy ◽  
Kerry H. Cook ◽  
Julien Crétat ◽  
Naresh Neupane
Keyword(s):  
Regional Climate Model ◽  
Climate Model ◽  
Regional Climate ◽  
Regional Scale ◽  
Summer Rainfall ◽  
West African ◽  
First Century ◽  
Wet Season ◽  
Surface Moisture ◽  
Twenty First Century

Abstract Confident regional-scale climate change predictions for the Sahel are needed to support adaptation planning. State-of-the-art regional climate model (RCM) simulations at 90- and 30-km resolutions are run and analyzed along with output from five coupled atmosphere–ocean GCMs (AOGCMs) from phase 5 of the Coupled Model Intercomparison Project (CMIP5) to predict how the Sahel summer surface temperature, precipitation, and surface moisture are likely to change at the mid- and late-twenty-first century due to increased atmospheric CO2 concentrations under the representative concentration pathway 8.5 (RCP8.5) emission scenario and evaluate confidence in such projections. Future lateral boundary conditions are derived from CMIP5 AOGCMs. It is shown that the regional climate model can realistically simulate the current summer evolution of the West African monsoon climate including the onset and demise of the Sahel wet season, a necessary but not sufficient condition for confident prediction. RCM and AOGCM projections indicate the likelihood for increased surface air temperatures over this century, with Sahara and Sahel temperature increases of 2–3.5 K by midcentury, and 3–6 K by late century. Summer rainfall and surface moisture are also projected to increase over most of the Sahel. This is primarily associated with an increase in rainfall intensity and not a lengthening of the wet season. Pinpointing exactly when the rainfall and surface moisture increase will first commence and by exactly what magnitude is less certain as these predictions appear to be model dependent. Models that simulate stronger warming over the Sahara are associated with larger and earlier rainfall increases over the Sahel due to an intensification of the low-level West African westerly jet, and vice versa.

scholarly journals Limitations in Validating Derived Soil Water Content from Thermal/Optical Measurements Using the Simplified Triangle Method

2020 ◽  
Vol 12 (7) ◽  
pp. 1155 ◽  
Author(s):  
Abba Aliyu Kasim ◽  
Toby Nahum Carlson ◽  
Haruna Shehu Usman
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Surface Soil ◽  
Optical Measurements ◽  
Field Site ◽  
Surface Moisture ◽  
Thermal Measurements ◽  
Triangle Method ◽  
Good Agreement

We assess the validity of the surface moisture availability parameter (Mo) derived from satellite-based optical/thermal measurements using the simplified triangle method. First, we show that Mo values obtained from the simplified triangle method agree closely with those generated from a soil/vegetation/atmosphere/transfer (SVAT) model for scenes over a field site at the Allahabad district, India. Next, we compared Mo values from the simplified triangle method for these same overpass scenes with surface soil water content measured at depths of 5 and 15 cm at this field site. Although a very weak correlation exists between remotely sensed values of Mo for the full scenes and measured soil water content measured at both depths, correlations increasingly improve for the 5 cm samples (but not for the 15 cm samples) as pixels were limited to increasingly smaller vegetation fractions. We conclude that the simplified triangle method would yield reasonable values of Mo and demonstrate good agreement with ground measurements, provided that validation is limited to pixels with little or no vegetation and to soil depths of 5 cm or less.

Geomorphic influences on ground-flora and overstory composition in upland forests of northwestern lower Michigan

1992 ◽  
Vol 22 (10) ◽  
pp. 1547-1555 ◽  
Author(s):  
George E. Host ◽  
Kurt S. Pregitzer
Keyword(s):  
Sugar Maple ◽  
Nutrient Dynamics ◽  
Regional Scale ◽  
Distribution Patterns ◽  
Parent Material ◽  
Forest Composition ◽  
Ground Flora ◽  
Moisture Availability ◽  
Historical Factors ◽  
Overstory Composition

Ground-flora and overstory composition and abundance patterns in 76 upland forest stands were related to the glacial geomorphology of a five-county area in northwestern lower Michigan. Nine classes of landforms were identified based on parent material and surface configuration. Chi-squared analyses of standardized residuals indicated that spatial distribution patterns of the ground flora were significantly associated with glacial landform. Detrended correspondence analyses showed that specific overstory–ground flora assemblages recur in characteristic landscape positions. The Interlobate Moraine, a predominant landform in the northeastern portion of the study area, was characterized by a northern hardwood canopy, primarily sugar maple (Acersaccharum Marsh.), basswood (Tiliaamericana L.), and red oak (Quercusrubra L.), with herbaceous annuals, perennials, and ephemerals forming the ground flora. Other morainal and glaciofluvial landforms supported oak (Quercus spp.) overstories with a woody ericaceous or graminoid ground flora. Ground-flora and overstory composition were highly correlated, indicating that they respond similarly to variation in environmental and historical factors. Moisture availability, as evidenced by soil texture and the presence of subsurface textural discontinuities, appeared to be a predominant factor influencing species distribution patterns. Since moisture availability and related nutrient dynamics are functions of depositional and postglacial history, regional-scale geomorphic patterns constrain forest composition in a probabilistic manner.

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