Using the Special Sensor Microwave Imager to Monitor Surface Wetness and Temperature

2001 ◽  
pp. 181-202 ◽  
Author(s):  
Alan Basist ◽  
Claude Williams
Keyword(s):  
Surface Wetness ◽  
Microwave Imager

Using the Special Sensor Microwave Imager to Monitor Surface Wetness

2001 ◽  
Vol 2 (3) ◽  
pp. 297-308 ◽  
Author(s):  
Alan Basist ◽  
Claude Williams ◽  
Thomas F. Ross ◽  
Matthew J. Menne ◽  
Norman Grody ◽  
...  
Keyword(s):  
Surface Wetness ◽  
Microwave Imager

scholarly journals Cross Validation of Rainfall Characteristics Estimated from the TRMM PR, a Combined PR–TMI Algorithm, and a C-POL Ground Radar during the Passage of Tropical Cyclone and Nontropical Cyclone Events over Darwin, Australia

2018 ◽  
Vol 35 (12) ◽  
pp. 2339-2358 ◽  
Author(s):  
Anil Deo ◽  
S. Joseph Munchak ◽  
Kevin J. E. Walsh
Keyword(s):  
Tropical Cyclone ◽  
Tropical Rainfall Measuring Mission ◽  
Rainfall Rate ◽  
Rainfall Characteristics ◽  
Significant Difference ◽  
Median Volume ◽  
Precipitation Type ◽  
Correct Direction ◽  
Microwave Imager ◽  
Trmm Microwave Imager

AbstractThis study cross validates the radar reflectivity Z; the rainfall drop size distribution parameter (median volume diameter Do); and the rainfall rate R estimated from the Tropical Rainfall Measuring Mission (TRMM) satellite Precipitation Radar (PR), a combined PR and TRMM Microwave Imager (TMI) algorithm (COM), and a C-band dual-polarized ground radar (GR) for TRMM overpasses during the passage of tropical cyclone (TC) and non-TC events over Darwin, Australia. Two overpass events during the passage of TC Carlos and 11 non-TC overpass events are used in this study, and the GR is taken as the reference. It is shown that the correspondence is dependent on the precipitation type whereby events with more (less) stratiform rainfall usually have a positive (negative) bias in the reflectivity and the rainfall rate, whereas in the Do the bias is generally positive but small (large). The COM reflectivity estimates are similar to the PR, but it has a smaller bias in the Do for most of the greater stratiform events. This suggests that combining the TMI with the PR adjusts the Do toward the “correct” direction if the GR is taken as the reference. Moreover, the association between the TRMM estimates and the GR for the two TC events, which are highly stratiform in nature, is similar to that observed for the highly stratiform non-TC events (there is no significant difference), but it differs considerably from that observed for the majority of the highly convective non-TC events.

Rainfall rate estimation over India using Global Precipitation Measurement’s Microwave Imager datasets and different variants of Fuzzy Information System

2021 ◽  
pp. 1-17
Author(s):  
Akash Anand ◽  
Anand Singh Dinesh ◽  
Prashant K. Srivastava ◽  
Sumit Kumar Chaudhary ◽  
A. K. Verma ◽  
...  
Keyword(s):  
Information System ◽  
Rainfall Rate ◽  
Fuzzy Information ◽  
Rate Estimation ◽  
Microwave Imager ◽  
Global Precipitation

scholarly journals Resistance in sorghum to shoot fly Atherigona soccata: Evidence for the source of leaf surface wetness

1994 ◽  
Vol 125 (1) ◽  
pp. 215-218 ◽  
Author(s):  
S SIVARAMAKRISHNAN ◽  
P SOMAN ◽  
K F NWANZE ◽  
Y V R REDDY ◽  
D R BUTLER
Keyword(s):  
Leaf Surface ◽  
Atherigona Soccata ◽  
Surface Wetness ◽  
Shoot Fly

Combined Radar and Radiometer Analysis of Precipitation Profiles for a Parametric Retrieval Algorithm

2005 ◽  
Vol 22 (7) ◽  
pp. 909-929 ◽  
Author(s):  
Hirohiko Masunaga ◽  
Christian D. Kummerow
Keyword(s):  
A Priori ◽  
Three Dimensional ◽  
Tropical Rainfall Measuring Mission ◽  
Dimensional Structure ◽  
Retrieval Algorithm ◽  
Brightness Temperatures ◽  
Precipitation Measurement ◽  
Microwave Imager ◽  
Trmm Microwave Imager ◽  
Global Precipitation

Abstract A methodology to analyze precipitation profiles using the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) and precipitation radar (PR) is proposed. Rainfall profiles are retrieved from PR measurements, defined as the best-fit solution selected from precalculated profiles by cloud-resolving models (CRMs), under explicitly defined assumptions of drop size distribution (DSD) and ice hydrometeor models. The PR path-integrated attenuation (PIA), where available, is further used to adjust DSD in a manner that is similar to the PR operational algorithm. Combined with the TMI-retrieved nonraining geophysical parameters, the three-dimensional structure of the geophysical parameters is obtained across the satellite-observed domains. Microwave brightness temperatures are then computed for a comparison with TMI observations to examine if the radar-retrieved rainfall is consistent in the radiometric measurement space. The inconsistency in microwave brightness temperatures is reduced by iterating the retrieval procedure with updated assumptions of the DSD and ice-density models. The proposed methodology is expected to refine the a priori rain profile database and error models for use by parametric passive microwave algorithms, aimed at the Global Precipitation Measurement (GPM) mission, as well as a future TRMM algorithms.

A critical analysis of one standard and five methods to monitor surface wetness and time-of-wetness

2017 ◽  
Vol 132 (3-4) ◽  
pp. 1143-1151 ◽  
Author(s):  
Dario Camuffo ◽  
Antonio della Valle ◽  
Francesca Becherini
Keyword(s):  
Critical Analysis ◽  
Surface Wetness ◽  
Time Of Wetness

scholarly journals An ecosystem-scale perspective of the net land methanol flux: synthesis of micrometeorological flux measurements

2015 ◽  
Vol 15 (13) ◽  
pp. 7413-7427 ◽  
Author(s):  
G. Wohlfahrt ◽  
C. Amelynck ◽  
C. Ammann ◽  
A. Arneth ◽  
I. Bamberger ◽  
...  
Keyword(s):  
Atmospheric Chemistry ◽  
Dominant Role ◽  
Terrestrial Ecosystem ◽  
Surface Wetness ◽  
Flux Synthesis ◽  
Leaf Level ◽  
Flux Measurements ◽  
The Rich ◽  
Study Sites ◽  
Source Sink

Abstract. Methanol is the second most abundant volatile organic compound in the troposphere and plays a significant role in atmospheric chemistry. While there is consensus about the dominant role of living plants as the major source and the reaction with OH as the major sink of methanol, global methanol budgets diverge considerably in terms of source/sink estimates, reflecting uncertainties in the approaches used to model and the empirical data used to separately constrain these terms. Here we compiled micrometeorological methanol flux data from eight different study sites and reviewed the corresponding literature in order to provide a first cross-site synthesis of the terrestrial ecosystem-scale methanol exchange and present an independent data-driven view of the land–atmosphere methanol exchange. Our study shows that the controls of plant growth on production, and thus the methanol emission magnitude, as well as stomatal conductance on the hourly methanol emission variability, established at the leaf level, hold across sites at the ecosystem level. Unequivocal evidence for bi-directional methanol exchange at the ecosystem scale is presented. Deposition, which at some sites even exceeds methanol emissions, represents an emerging feature of ecosystem-scale measurements and is likely related to environmental factors favouring the formation of surface wetness. Methanol may adsorb to or dissolve in this surface water and eventually be chemically or biologically removed from it. Management activities in agriculture and forestry are shown to increase local methanol emission by orders of magnitude; however, they are neglected at present in global budgets. While contemporary net land methanol budgets are overall consistent with the grand mean of the micrometeorological methanol flux measurements, we caution that the present approach of simulating methanol emission and deposition separately is prone to opposing systematic errors and does not allow for full advantage to be taken of the rich information content of micrometeorological flux measurements.

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