Rangeland Hydrological and Erosion Model (RHEM) Evaluation, Badia, Jordan, 2016
Runoff data collected from four runoff plots in 2016. Data collected after each rainfall event. The data used to evaluate the model results. The model used is the Rangeland Hydrological and Erosion Model (RHEM).
Saved in:
Main Authors: | , , |
---|---|
Other Authors: | |
Language: | English |
Published: |
MELDATA
2017
|
Subjects: | Agricultural Sciences, runoff water, goal 15 life on land, |
Online Access: | https://hdl.handle.net/20.500.11766.1/6PJT8V |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
dat-cgiar-20.500.11766.16PJT8V |
---|---|
record_format |
Dataverse |
spelling |
dat-cgiar-20.500.11766.16PJT8V2021-01-21T12:02:50ZRangeland Hydrological and Erosion Model (RHEM) Evaluation, Badia, Jordan, 2016https://hdl.handle.net/20.500.11766.1/6PJT8VStrohmeier, StefanHaddad, Mirade Vries, JobMELDATARunoff data collected from four runoff plots in 2016. Data collected after each rainfall event. The data used to evaluate the model results. The model used is the Rangeland Hydrological and Erosion Model (RHEM).Agricultural Sciencesrunoff watergoal 15 life on landEnglish2017-10-10Francesco Bonechi (International Center for Agricultural Research in the Dry Areas - ICARDA)Mira Haddad (International Center for Agricultural Research in the Dry Areas - ICARDA)United States Agency for International Development - USAIDBezaiet Dessalegn (International Center for Agricultural Research in the Dry Areas - ICARDA)Stefan Strohmeier (International Center for Agricultural Research in the Dry Areas - ICARDA)Boubaker Dhehibi (International Center for Agricultural Research in the Dry Areas - ICARDA)Mira Haddad (International Center for Agricultural Research in the Dry Areas - ICARDA) |
institution |
CGIAR |
collection |
Dataverse |
country |
Francia |
countrycode |
FR |
component |
Datos de investigación |
access |
En linea En linea |
databasecode |
dat-cgiar |
tag |
biblioteca |
region |
Europa del Oeste |
libraryname |
International Center for Agricultural Research in Dry Ares |
language |
English |
topic |
Agricultural Sciences runoff water goal 15 life on land Agricultural Sciences runoff water goal 15 life on land |
spellingShingle |
Agricultural Sciences runoff water goal 15 life on land Agricultural Sciences runoff water goal 15 life on land Strohmeier, Stefan Haddad, Mira de Vries, Job Rangeland Hydrological and Erosion Model (RHEM) Evaluation, Badia, Jordan, 2016 |
description |
Runoff data collected from four runoff plots in 2016. Data collected after each rainfall event. The data used to evaluate the model results. The model used is the Rangeland Hydrological and Erosion Model (RHEM). |
author2 |
Francesco Bonechi (International Center for Agricultural Research in the Dry Areas - ICARDA) |
author_facet |
Francesco Bonechi (International Center for Agricultural Research in the Dry Areas - ICARDA) Strohmeier, Stefan Haddad, Mira de Vries, Job |
topic_facet |
Agricultural Sciences runoff water goal 15 life on land |
author |
Strohmeier, Stefan Haddad, Mira de Vries, Job |
author_sort |
Strohmeier, Stefan |
title |
Rangeland Hydrological and Erosion Model (RHEM) Evaluation, Badia, Jordan, 2016 |
title_short |
Rangeland Hydrological and Erosion Model (RHEM) Evaluation, Badia, Jordan, 2016 |
title_full |
Rangeland Hydrological and Erosion Model (RHEM) Evaluation, Badia, Jordan, 2016 |
title_fullStr |
Rangeland Hydrological and Erosion Model (RHEM) Evaluation, Badia, Jordan, 2016 |
title_full_unstemmed |
Rangeland Hydrological and Erosion Model (RHEM) Evaluation, Badia, Jordan, 2016 |
title_sort |
rangeland hydrological and erosion model (rhem) evaluation, badia, jordan, 2016 |
publisher |
MELDATA |
publishDate |
2017 |
url |
https://hdl.handle.net/20.500.11766.1/6PJT8V |
work_keys_str_mv |
AT strohmeierstefan rangelandhydrologicalanderosionmodelrhemevaluationbadiajordan2016 AT haddadmira rangelandhydrologicalanderosionmodelrhemevaluationbadiajordan2016 AT devriesjob rangelandhydrologicalanderosionmodelrhemevaluationbadiajordan2016 |
_version_ |
1778422654353539072 |