![]() ![]() Landuse landcover change is the other global change underway in an era of greenhouse gas driven climate change. Their policies may differ from this site. Some links on this page may take you to non-federal websites. Some full text articles may not yet be available without a charge during the embargo (administrative interval). When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH Results of this work will be actively disseminated through participation at professional annual meetings and conferences, and in peer-reviewed journals, and popular media. ![]() These activities will be transformed to a media content website, as well as in 4H handbooks, state fair activities, and for visualization and student activities digital libraries. Working with middle school teachers, project findings will be used to develop middle school classroom monsoon activities. The research will directly contribute towards the training of graduate students and postdoctoral researchers. As a broader impact, using the research findings, educational material will be developed for general public, undergraduates, and advanced graduate students. This will enable knowledge that is transformative to weather and climate models and helps develop a more complete understanding of the climate change processes over the Indian monsoon region. It will also improve the understanding of the mechanisms of monsoonal convective processes and its predictability, including the impacts of land use land cover change and land surface variability. Using multidecadal in situ and remote sensed observations, and results from land data assimilation system and coupled land atmosphere models, this project will yield an improved definition, attribution and prediction of the Indian Monsoon rainfall changes. The project will address the following outstanding questions: (i) What is the impact of land surface processes on convection and heavy rainfall over the Indian monsoon region? (ii) Is there a causal control of local land surface feedback on the Indian monsoon heavy rainfall climatology?, and, What aspects of this land use feedback can be detected from current observations, models, and reanalysis products? These questions seek to investigate if the impact of land surface processes can be statistically detected from multidecadal analysis and observations and what are the mechanisms by which land surface affects regional convection and heavy rains over the Indian monsoon region. The study seeks to test the hypothesis that the land surface feedback is an important modulator of the heavy rains and convection climatology over the Indian monsoon region and that the land use change has significantly contributed to the changes in the heavy rainfall climatology over the Indian monsoon region in recent decades. ![]() Primary Place of Performance Congressional District:Ġ40100 NSF RESEARCH & RELATED ACTIVIT 040100 NSF RESEARCH & RELATED ACTIVIT 040100 NSF RESEARCH & RELATED ACTIVIT 040100 NSF RESEARCH & RELATED ACTIVIT 040100 NSF RESEARCH & RELATED ACTIVIT Dev Niyogi (Principal Investigator) Sponsored Research Office:.A one-dimensional model of canopy flow which solves the equations for momentum, Reynolds stress and the three components of turbulent kinetic energy, without relating the stress to the mean velocity gradient, predicts a weak secondary maximum in the wind profile for a corn canopy.CAREER: Assessing the Role of Land Surface Processes on the Climatic Changes in the Heavy Rain and Convection over the Indian Monsoon Region NSF Org: Direct measurements of the turbulent transport of u′w′ in corn ( Zea mays L.) indicate that its value is considerably larger than in the air layers above and show that stress is transported downward from the upper parts of the vegetation. Examination of the equation for the local rate of change of Reynolds stress u′w′ shows that the velocity gradient can reverse in sign if the divergence of the turbulent transport of stress is of opposite sign and exceeds in magnitude the pressure-velocity gradient correlation. One-dimensional models utilizing a turbulent transport coefficient cannot predict a reversed velocity gradient and, as a result, profile analyses normally imply coefficients that are unrealistic or nonsensical. It is noted that wind profiles measured in forest and crop canopies normally contain a secondary maximum or a region of very small shear beneath the level of greatest foliage density. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |