scholarly journals Convection Initiation along Soil Moisture Boundaries in the Southern Great Plains

2010 ◽  
Vol 138 (4) ◽  
pp. 1140-1151 ◽  
Author(s):  
John D. Frye ◽  
Thomas L. Mote
Keyword(s):  
Soil Moisture ◽  
Great Plains ◽  
Tropical Rainfall Measuring Mission ◽  
Moisture Gradient ◽  
Synoptic Type ◽  
Southern Great Plains ◽  
Volumetric Soil Moisture ◽  
Soil Moisture Gradient ◽  
Microwave Imager ◽  
Convection Initiation

Abstract Boundaries between two dissimilar air masses have been shown to be the focus region for convection initiation. One feature that has been shown to create these boundaries, as well as mesoscale circulation patterns conducive for convection, is soil moisture heterogeneities. These relationships have been validated in modeling studies, short-term field campaigns, and reanalysis of severe weather events. This study examines the role of soil moisture on convection initiation by using observational data over 7 yr (1998–2004) in the southern Great Plains. A key component to this research is the recently developed daily soil moisture product from the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI). The locations of convection initiation, based on the Weather Surveillance Radar-1988 Doppler (WSR-88D) data, were compared to volumetric soil moisture values and volumetric soil moisture gradient values. The locations of convection initiation were also examined based on synoptic-type day. On synoptically benign days, increased soil moisture and soil moisture gradient values were associated with decreased convection initiation, to a point. After soil moisture reached 15% (25%) on days with (without) a low-level jet, the likelihood of convection initiation increased. On synoptically primed days, the probabilities of convection initiation were more variable throughout the range of soil moisture values, indicating that the synoptically primed conditions may reduce the influence of soil moisture heterogeneities. Results indicate that a critical value in soil moisture and soil moisture gradient may exist that alters the mesoscale effect of changes in soil moisture on convection initiation, particularly on days that would be classified as synoptically benign.

scholarly journals Evaluating Soil Moisture–Precipitation Interactions Using Remote Sensing: A Sensitivity Analysis

2018 ◽  
Vol 19 (8) ◽  
pp. 1237-1253 ◽  
Author(s):  
Trent W. Ford ◽  
Steven M. Quiring ◽  
Balbhadra Thakur ◽  
Rohit Jogineedi ◽  
Adam Houston ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Soil Moisture ◽  
Tropical Rainfall Measuring Mission ◽  
Earth Observing System ◽  
Complex Interactions ◽  
Interaction Studies ◽  
Statistical Coupling ◽  
Dry Soil ◽  
Microwave Imager ◽  
Convection Initiation

Abstract The complex interactions between soil moisture and precipitation are difficult to observe, and consequently there is a lack of consensus as to the sign, strength, and location of these interactions. Inconsistency between soil moisture–precipitation interaction studies can be attributed to a multitude of factors, including the difficulty of demonstrating causal relationships, dataset differences, and precipitation autocorrelation. The purpose of this study is to explore these potential confounding factors and determine which are most important for consideration when assessing statistical coupling between soil moisture and precipitation. Soil moisture is assessed via three remote sensing datasets: the Advanced Microwave Scanning Radiometer for Earth Observing System, the Tropical Rainfall Measuring Mission Microwave Imager, and the Essential Climate Variable Soil Moisture. Estimates of soil moisture are coupled with afternoon thunderstorm events identified by the Thunderstorm Observation by Radar (ThOR) algorithm, and dry soil or wet soil preferences for convection initiation are determined for over 16 000 thunderstorm events between 2005 and 2007. Differences in soil moisture datasets were found to have the largest impact with regard to determining wet or dry soil preferences. Precipitation autocorrelation is prevalent in the data; however, precipitation autocorrelation did not influence the results with regard to dry or wet soil preferences. Consideration of the convective environment (i.e., weakly or synoptically forced) did result in significant differences in wet/dry soil preference, but only for certain soil moisture datasets. The results suggest that observation-driven soil moisture–precipitation interaction studies should both consider the convective environment and implement multiple soil moisture datasets to assure robust results.

scholarly journals The Synergistic Relationship between Soil Moisture and the Low-Level Jet and Its Role on the Prestorm Environment in the Southern Great Plains

2010 ◽  
Vol 49 (4) ◽  
pp. 775-791 ◽  
Author(s):  
John D. Frye ◽  
Thomas L. Mote
Keyword(s):  
Soil Moisture ◽  
Great Plains ◽  
Convective Available Potential Energy ◽  
Rank Correlation ◽  
Reanalysis Dataset ◽  
Synoptic Type ◽  
Southern Great Plains ◽  
Low Level ◽  
Convective Parameter ◽  
Low Level Jet

Abstract Changes in low-level moisture alter the convective parameters [e.g., convective available potential energy (CAPE), lifted index (LI), and convective inhibition (CIN)] as a result of alterations in the latent and sensible heat energy exchange. Two sources for low-level moisture exist in the southern Great Plains: 1) moisture advection by the low-level jet (LLJ) from the Gulf of Mexico and 2) evaporation and transpiration from the soils and vegetation in the region. The primary focus of this study is to examine the spatial distribution of soil moisture on a daily basis and to determine the effect it has on the convective parameters. The secondary objective is to investigate how the relationship between soil moisture and convective parameters is altered by the presence of an LLJ. The soil moisture data were obtained through newly developed procedures and advances in technology aboard the Tropical Rainfall Measuring Mission Microwave Imager. The convective parameter data were obtained through the North American Regional Reanalysis dataset. The study examined seven warm seasons (April–September) from 1998 to 2004 and found that the convective environment is more unstable (CAPE > 900 J kg−1, LI < −2°C) but more strongly capped (CIN > 70 J kg−1) on days with an LLJ present. Spearman’s rank correlation analysis showed a less stable atmosphere with increased soil moisture, after soil moisture reached 5%, on most days. Additional analysis determined that on all synoptic-type days the probability of reaching various thresholds of convective intensity increased as soil moisture values increased. The probabilities were even greater on days with an LLJ present than on the days without an LLJ present. An examination of four days representing each synoptic-type day indicates that on the daily scale the intensity of the convective environment is closely related to the high soil moisture and the presence of an LLJ.

EFFECT OF DEFICIT IRRIGATION ON YIELD, RELATIVE LEAF WATER CONTENT, LEAF PROLINE ACCUMULATION AND CHLOROPHYLL STABILITY INDEX OF COTTON–MAIZE CROPPING SEQUENCE

2013 ◽  
Vol 50 (3) ◽  
pp. 407-425 ◽  
Author(s):  
T. SAMPATHKUMAR ◽  
B. J. PANDIAN ◽  
P. JEYAKUMAR ◽  
P. MANICKASUNDARAM
Keyword(s):  
Soil Moisture ◽  
Water Stress ◽  
Water Content ◽  
Deficit Irrigation ◽  
Stability Index ◽  
Moisture Gradient ◽  
Proline Content ◽  
Leaf Water Content ◽  
Chlorophyll Stability Index ◽  
Soil Moisture Gradient

SUMMARYWater stress induces some physiological changes in plants and has cumulative effects on crop growth and yield. Field experiments were conducted to study the effect of deficit irrigation (DI) on yield and some physiological parameters in cotton and maize in a sequential cropping system. Creation of soil moisture gradient is indispensable to explore the beneficial effects of partial root zone drying (PRD) irrigation and it could be possible only through alternate deficit irrigation (ADI) practice in paired row system of drip layout that is commonly practiced in India. In the present study, PRD and DI concepts (creation of soil moisture gradient) were implemented through ADI at two levels of irrigation using drip system. Maize was sown after cotton under no till condition without disturbing the raised bed and drip layout. Relative leaf water content (RLWC) and chlorophyll stability index (CSI) of cotton and maize were reduced under water stress. A higher level of leaf proline content was observed under severe water-stressed treatments in cotton and maize. RLWC and CSI were highest and leaf proline content was lowest in mild water deficit (ADI at 100% crop evapotranspiration once in three days) irrigation in cotton and maize. The same treatments registered higher values for crop yields, net income and benefit cost ratio for both the crops.

scholarly journals Vegetation of the Witbank Nature Reserve and its importance for conservation of threatened Rocky Highveld Grassland

Koedoe ◽  
1997 ◽  
Vol 40 (2) ◽  
Author(s):  
C.M. Smit ◽  
G.J. Bredenkamp ◽  
N. Van Rooyen ◽  
A.E. Van Wyk ◽  
J.M. Combrinck
Keyword(s):  
Soil Moisture ◽  
Plant Communities ◽  
Nature Reserve ◽  
Soil Depth ◽  
Floristic Composition ◽  
Diversity Indices ◽  
Moisture Gradient ◽  
Negative Effects ◽  
Soil Moisture Gradient ◽  
Great Escarpment

A vegetation survey of the Witbank Nature Reserve, comprising 847 hectares, was conducted. Phytosociological data were used to identify plant communities, as well as to determine alpha and beta diversities. Eleven plant communities were recognised, two of these are subdivided into sub- communities, resulting in 14 vegetation units. These communities represent four main vegetation types, namely grassland, woodland, wetland and disturbed vegetation. Grassland communities have the highest plant diversity and wetland vegetation the lowest. Floristic composition indicates that the vegetation of the Rocky Highveld Grassland has affinities to the grassland and savanna biomes and also to the Afromontane vegetation of the Great Escarpment. An ordination scatter diagram shows the distribution of the 14 plant communities or sub-communities along a soil moisture gradient, as well as along a soil depth/surface rock gradient. The sequence of communities along the soil moisture gradient is used for calculating beta-diversity indices. It is concluded that the relatively small size of the Witbank Nature Reserve is unlikely to have significant negative effects on the phytodiversity of the various plant communities. This nature reserve is therefore of considerable importance in conserving a representative sample of the Rocky Highveld Grassland.

Effect of soil moisture gradient on structure of broad-leaved/Korean pine forest in Changbai Mountain

2004 ◽  
Vol 15 (2) ◽  
pp. 119-123 ◽  
Author(s):  
Wang Yan ◽  
Wang Qing-li ◽  
Dai Li-min ◽  
Wang Miao ◽  
Zhou Li ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Moisture Gradient ◽  
Pine Forest ◽  
Changbai Mountain ◽  
Korean Pine ◽  
Soil Moisture Gradient ◽  
Korean Pine Forest

scholarly journals Quantifying the Land–Atmosphere Coupling Behavior in Modern Reanalysis Products over the U.S. Southern Great Plains

2015 ◽  
Vol 28 (14) ◽  
pp. 5813-5829 ◽  
Author(s):  
Joseph A. Santanello ◽  
Joshua Roundy ◽  
Paul A. Dirmeyer
Keyword(s):  
Soil Moisture ◽  
Great Plains ◽  
Southern Great Plains ◽  
Diurnal Cycles ◽  
The North ◽  
Energy Cycle ◽  
Coupling Behavior ◽  
Regional Reanalysis ◽  
Modern Era ◽  
The U.S

Abstract The coupling of the land with the planetary boundary layer (PBL) on diurnal time scales is critical to regulating the strength of the connection between soil moisture and precipitation. To improve understanding of land–atmosphere (L–A) interactions, recent studies have focused on the development of diagnostics to quantify the strength and accuracy of the land–PBL coupling at the process level. In this paper, the authors apply a suite of local land–atmosphere coupling (LoCo) metrics to modern reanalysis (RA) products and observations during a 17-yr period over the U.S. southern Great Plains. Specifically, a range of diagnostics exploring the links between soil moisture, evaporation, PBL height, temperature, humidity, and precipitation is applied to the summertime monthly mean diurnal cycles of the North American Regional Reanalysis (NARR), Modern-Era Retrospective Analysis for Research and Applications (MERRA), and Climate Forecast System Reanalysis (CFSR). Results show that CFSR is the driest and MERRA the wettest of the three RAs in terms of overall surface–PBL coupling. When compared against observations, CFSR has a significant dry bias that impacts all components of the land–PBL system. CFSR and NARR are more similar in terms of PBL dynamics and response to dry and wet extremes, while MERRA is more constrained in terms of evaporation and PBL variability. Each RA has a unique land–PBL coupling that has implications for downstream impacts on the diurnal cycle of PBL evolution, clouds, convection, and precipitation as well as representation of extremes and drought. As a result, caution should be used when treating RAs as truth in terms of their water and energy cycle processes.

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