All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

A drought monitoring tool for South Asia

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F21%3A85644" target="_blank" >RIV/60460709:41330/21:85644 - isvavai.cz</a>

  • Result on the web

    <a href="https://iopscience.iop.org/article/10.1088/1748-9326/abf525" target="_blank" >https://iopscience.iop.org/article/10.1088/1748-9326/abf525</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1088/1748-9326/abf525" target="_blank" >10.1088/1748-9326/abf525</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A drought monitoring tool for South Asia

  • Original language description

    Drought is one of the most extreme climatic events in South Asia (SA) and has affected 1,44 billion people in last 68 years. The agriculture in many areas of this region is highly dependent on rainfall, which increases the vulnerability to drought. To mitigate the impact of drought on agriculture and food security, this study aims to develop a state-of-the-art system for monitoring agricultural drought over SA at a high spatial resolution (0,25(circle)) in near real-time. This study currently focuses on the rain-fed area, and the impact of irrigation is not incorporated. This open and interactive tool can assist in monitoring the near-present soil moisture conditions, as well as assessing the historical drought conditions for better management. The South Asia Drought Monitor (SADM) runs the mesoscale hydrologic model to simulate the soil moisture using observation-based meteorological forcing (at near real-time), morphological variables, and land cover data. The soil moisture index (SMI) has been cal

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10509 - Meteorology and atmospheric sciences

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Environmental Research Letters

  • ISSN

    1748-9326

  • e-ISSN

    1748-9326

  • Volume of the periodical

    16

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    14

  • Pages from-to

    1-14

  • UT code for WoS article

    000642202000001

  • EID of the result in the Scopus database

    2-s2.0-85105710328