Next Article in Journal
Security Enhancement Mechanism Based on Contextual Authentication and Role Analysis for 2G-RFID Systems
Next Article in Special Issue
Mapping Wide Row Crops with Video Sequences Acquired from a Tractor Moving at Treatment Speed
Previous Article in Journal
DNA Strand Patterns on Aluminium Thin Films
Previous Article in Special Issue
Geosensors to Support Crop Production: Current Applications and User Requirements
Sensors 2011, 11(7), 6728-6742; doi:10.3390/s110706728
Article

Use of Sensor Imagery Data for Surface Boundary Conditions in Regional Climate Modeling

Received: 25 March 2011 / Revised: 22 June 2011 / Accepted: 27 June 2011 / Published: 28 June 2011
(This article belongs to the Special Issue Sensors in Agriculture and Forestry)
View Full-Text   |   Download PDF [1164 KB, uploaded 21 June 2014]   |   Browse Figures

Abstract

Mesoscale climate and hydrology modeling studies have increased in sophistication and are being run at increasingly higher resolutions. Data resolution sufficiently finer than that of the computational model is required not only to support sophisticated linkages and process interactions at small scales but to assess their cumulative impact at larger scales. The global distributions at fine spatial and temporal scales can be described by means of various senor imagery data collected through remote sensing techniques, sensor image and photo programs, scanning and digitizing skills for existing maps, etc. The availability of global sensor imagery maps facilitates assimilation in land surface models to account for terrestrial dynamics. This study focuses on the use of global imagery data for development and construction of surface boundary conditions (SBCs) specifically designed for mesoscale regional climate model (RCM) applications. The several SBCs are currently presented in a RCM domain for the continent of Asia at 30-km spacing by using sensor imagery data. Geographic Information System (GIS) software application tools are mainly used to convert data information from various raw data onto RCM-specific grids. The raw data sources and processing procedures are elaborated in detail, by which the SBCs can be readily constructed for any specific RCM domain anywhere in the world.
Keywords: sensor imagery; RCM; SBC; GIS sensor imagery; RCM; SBC; GIS
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote
MDPI and ACS Style

Choi, H.I. Use of Sensor Imagery Data for Surface Boundary Conditions in Regional Climate Modeling. Sensors 2011, 11, 6728-6742.

View more citation formats

Related Articles

Article Metrics

Comments

Citing Articles

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert