Dataset detail
Data for Application of Different Weighting Schemes and Stochastic Simulations to Parameterization Processes Considering Observation Error: Implications for Climate Change Impact Analysis of Integrated Watershed Models
Data manager
이은희
Created date
2022-07-26
Subject
GeologicalEnvironment
Type
Sample & Analysis
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| 데이터명 | Data for Application of Different Weighting Schemes and Stochastic Simulations to Parameterization Processes Considering Observation Error: Implications for Climate Change Impact Analysis of Integrated Watershed Models |
|---|---|
| 주제분류 | 지질환경 |
| 분석장비명 및 모델 | HGS Software |
| 분석방법 |
Numerical modeling |
| 자료설명 |
Description of this data:
Dataset in this repository includes input & output for the simulation of HydroGeosphere (HGS) and Parameter Estimation (PEST) software. In the folder A, a basic input data for HGS running and three different sets (Case 1 to Case 3) of PEST input templates(*.pst) are included. Most of HGS inputs used for 3D integrated model construction can be found in 00-Allinput folder and from ‘SB_flow.grok’ file. Inputs/outputs for PEST simulation is located in 01-flow-sim_w_Dam_PEST/00-00-PEST folder. In each pst file, the weights obtained using different weighting schemes were displayed along with other information required for PEST simulation. The outputs of PEST simulation for each test case (*.rec) can be found at the same folder as well. In the folder B, 100 cases of PEST input for the stochastic simulations are included and the output for the PEST simulation is summarized in the attached excel file. In the folder C, inputs and output for RCP predictions are summarized. All data used for the figures in the manuscript are included in the repository. To perform the simulations and visualize their results, several executables (GROK.EXE, pHGS.EXE, and HSPLOT.EXE, PEST.EXE) are required. Any additional details can be obtained from the first author (Eunhee Lee) and the software developers (www.aquanty.com & https://pesthomepage.org). |
| 생산기관 | Korea Institute of Geoscience and Mineral Resources (KIGAM) |
| 생산자 | Eunhee Lee |
| 생산일 | 2021-04-01 |
| DOI | 10.22747/data.20210401.3119 |
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- Note that permission is required for redistributing the data and do not use the material for commercial purposes
Quote
- Data for Application of Different Weighting Schemes and Stochastic Simulations to Parameterization Processes Considering Observation
Cite as
Eunhee Lee . (2021).
Data for Application of Different Weighting Schemes and Stochastic Simulations to Parameterization Processes Considering Observation Error: Implications for Climate Change Impact Analysis of Integrated Watershed Models.
Korea Institute of Geoscience and Mineral Resources (KIGAM).
https://doi.org/10.22747/data.20210401.3119
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