Investigating alternative techniques for incorporating remote sensing, gridded climate and terrain data into a semi-distributed modelling framework

[摘要] This is a briefing report on Task 1c.1 of the Surface Water Model (Activity 1) of WIRADA project 3.1, Water Resource Assessment and Accounting.The briefing contains an investigation of alternative techniques for incorporating remote sensing, gridded climate and terrain data into a semi-distributed modelling framework.The difference between lumped and fully distributed modelling approaches is discussed, and the implications of a semi-distributed modelling framework are assessed in terms of the use of gridded data. A review of current techniques of the use of the various gridded datasets in semi-distributed frameworks was undertaken. Uses of gridded data are categorised as (FD) forcing data; (P) Parameter surfaces; and observed data for (C) calibration of model parameters; (E) evaluation of model results; or (R) regionalisation of model parameters. Examples of all uses are provided.The current prototype Australian Water Resources Assessment (AWRA) system contains a landscape hydrological model that uses AWAP Priestley-Taylor and SILO rainfall as gridded input data, and (among others) MODIS greenness observations as evaluation data. Satellite-observed land surface temperature (LST) contains valuable information about the water balance. Options to potentially improve on this relatively simple approach are discussed, specifically, incorporating LST and additional or alternative gridded meteorological data. A scoping study is recommended to assess the feasibility of some potentially computationally efficient approaches to incorporate LST in ET estimation.

[发布日期] 2009-09-27 [发布机构] CSIRO

[学科分类] 地球科学(综合)