Skip to main content
  • UN ESCAP - Home
  •  
  • UN ESCAP - Home
  •  
  • UN ESCAP - Decade of Action
  •  
  • RISK AND RESILIENCE PORTAL
    An Initiative of the Asia-Pacific Disaster Resilience Network
  • Log in
  • Home
  • Risk & Resilience Analytics expand_more
  • Country Tools & Applications expand_more
  • Regional cooperation expand_more
  • E-learning & Knowledge expand_more
Home

expand_more Risk & Resilience Analytics

    expand_more Hazard Hotspots

      Climate-related and biological multi-hazard Drought Flood Heatwave Cyclone Earthquake and Tsunami

    expand_more Economic Impact

      Regional Economic Impact East and North-East Asia North and Central Asia Pacific South-East Asia South and South-West Asia Pacific Small Island Developing States

    expand_more Adaptation costs and priorities

      Regional Overview East and North-East Asia North and Central Asia Pacific South-East Asia South and South-West Asia Pacific Small Island Developing States

expand_more Country Tools & Applications

    expand_more Country profiles

      Afghanistan American Samoa Armenia Australia Azerbaijan Bangladesh Bhutan Brunei Darussalam Cambodia China Cook Islands D.P.R. Korea Fiji French Polynesia Georgia Guam India Indonesia Iran (Islamic Republic. of) Japan Kazakhstan Kiribati Kyrgyzstan Lao P.D.R. Malaysia Maldives Marshall Islands Micronesia (F.S) Mongolia Myanmar Nauru Nepal New Caledonia New Zealand Niue Northern Mariana Islands Pakistan Palau Papua New Guinea Philippines Republic of Korea Russian Federation Samoa Singapore Solomon Islands Sri Lanka Tajikistan Thailand Timor-Leste Tonga Türkiye Turkmenistan Tuvalu Uzbekistan Vanuatu Viet Nam
    Decision support systems Data explorer SDG action tracker for disaster and climate resilience

expand_more Regional cooperation

    The Aral Sea catastrophe - Storyboard

expand_more E-learning & Knowledge

    expand_more E-learning tools

      IBF Course DiDRR Part 1 : Basic DiDRR Part 2 : Advanced
    Knowledge products

Breadcrumb

  1. Home
  2. Keyword Glossary
  • EN
  • RU

Keyword Glossary

Consecutive Dry Days (CDD)
Cooling degree days (CD)
Coupled Model Intercomparison Project (CMIP)
Days with TX above 35ºC (TX35)
Digital elevation model (DEM)
Drought hazard SMA 10-year return period - Existing climate
Drought hazard SMA 10-year return period - SSP1 Lower bound
Drought hazard SMA 10-year return period - SSP5 Upper bound
Drought hazard SMA 25-year return period - Existing climate
Drought hazard SMA 25-year return period - SSP1 Lower bound

Pagination

  • Previous page
  • Page 3
  • Next page

C

Consecutive Dry Days (CDD)
Maximum number of consecutive dry days (pr<1mm). Units: days Maximum number of consecutive dry days (pr<1mm). Units: days Read More
Cooling degree days (CD)
Energy consumption in hot environments depends on the excess of temperature above a given threshold, where cooling is required. CDD is an index which uses the mean, maximum and minimum daily temperature. Units: degree-days Energy consumption in hot environments depends on the excess of temperature above a given threshold, where cooling is required. CDD is an index which uses the mean, maximum and minimum daily… Read More
Coupled Model Intercomparison Project (CMIP)
a project of the World Climate Research Programme (WCRP) providing climate projections to understand past, present and future climate changes. a project of the World Climate Research Programme (WCRP) providing climate projections to understand past, present and future climate changes. Read More

D

Days with TX above 35ºC (TX35)
Number of days with maximum temperature above 35 degree Celsius. Units: days Number of days with maximum temperature above 35 degree Celsius. Units: days Read More
Digital elevation model (DEM)
A Digital Elevation Model (DEM) is a representation of the bare ground (bare earth) topographic surface of the Earth excluding trees, buildings, and any other surface objects.  A Digital Elevation Model (DEM) is a representation of the bare ground (bare earth) topographic surface of the Earth excluding trees, buildings, and any other surface objects.  Read More
Drought hazard SMA 10-year return period - Existing climate
Drought Hazard map based on the SMA-1 indicator (Standardised Moisture Anomaly cumulated on a 1-month window). The map refers to the return period RT = 10 Years and it is computated on the basis of exceeding the SMA-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months.

The existing climate refers to the entire historical period of the last 40 years (1979 - 2016) the methodology employed for the computation is exhaustively explained in the Background paper.

There are reference periods for the existing climate and for the future scenarios the average duration is computed over such periods in a statistical sense (for future years from 2060 to 2100 are considered). The definition of the indicator is a series of consecutive days where the used indicator is below -1.
Drought Hazard map based on the SMA-1 indicator (Standardised Moisture Anomaly cumulated on a 1-month window). The map refers to the return period RT = 10 Years and it is computated on the… Read More
Drought hazard SMA 10-year return period - SSP1 Lower bound
Drought Hazard map based on the SMA-1 indicator (Standardised Moisture Anomaly cumulated on a 1-month window). The map refers to the return period RT = 10 Years and it is computated on the basis of exceeding the SMA-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months using SSP1 Lower bound Climate change scenario.

The existing climate refers to the entire historical period of the last 40 years (1979 - 2016) the methodology employed for the computation is exhaustively explained in the Background paper.

There are reference periods for the existing climate and for the future scenarios the average duration is computed over such periods in a statistical sense (for future years from 2060 to 2100 are considered). The definition of the indicator is a series of consecutive days where the used indicator is below -1.
Drought Hazard map based on the SMA-1 indicator (Standardised Moisture Anomaly cumulated on a 1-month window). The map refers to the return period RT = 10 Years and it is computated on the… Read More
Drought hazard SMA 10-year return period - SSP5 Upper bound
Drought Hazard map based on the SMA-1 indicator (Standardised Moisture Anomaly cumulated on a 1-month window). The map refers to the return period RT = 10 Years and it is computated on the basis of exceeding the SMA-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months using SSP5 Upper bound Climate change scenario.

The existing climate refers to the entire historical period of the last 40 years (1979 - 2016) the methodology employed for the computation is exhaustively explained in the Background paper.

There are reference periods for the existing climate and for the future scenarios the average duration is computed over such periods in a statistical sense (for future years from 2060 to 2100 are considered). The definition of the indicator is a series of consecutive days where the used indicator is below -1.
Drought Hazard map based on the SMA-1 indicator (Standardised Moisture Anomaly cumulated on a 1-month window). The map refers to the return period RT = 10 Years and it is computated on the… Read More
Drought hazard SMA 25-year return period - Existing climate
Drought Hazard map based on the SMA-1 indicator (Standardised Moisture Anomaly cumulated on a 1-month window). The map refers to the return period RT = 25 Years and it is computated on the basis of exceeding the SMA-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months.

The existing climate refers to the entire historical period of the last 40 years (1979 - 2016) the methodology employed for the computation is exhaustively explained in the Background paper.

There are reference periods for the existing climate and for the future scenarios the average duration is computed over such periods in a statistical sense (for future years from 2060 to 2100 are considered). The definition of the indicator is a series of consecutive days where the used indicator is below -1.
Drought Hazard map based on the SMA-1 indicator (Standardised Moisture Anomaly cumulated on a 1-month window). The map refers to the return period RT = 25 Years and it is computated on the… Read More
Drought hazard SMA 25-year return period - SSP1 Lower bound
Drought Hazard map based on the SMA-1 indicator (Standardised Moisture Anomaly cumulated on a 1-month window). The map refers to the return period RT = 25 Years and it is computated on the basis of exceeding the SMA-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months using SSP1 Lower bound Climate change scenario.

The existing climate refers to the entire historical period of the last 40 years (1979 - 2016) the methodology employed for the computation is exhaustively explained in the Background paper.

There are reference periods for the existing climate and for the future scenarios the average duration is computed over such periods in a statistical sense (for future years from 2060 to 2100 are considered). The definition of the indicator is a series of consecutive days where the used indicator is below -1.
Drought Hazard map based on the SMA-1 indicator (Standardised Moisture Anomaly cumulated on a 1-month window). The map refers to the return period RT = 25 Years and it is computated on the… Read More

Pagination

  • Previous page
  • Page 3
  • Next page
Please switch to Chrome or MS Edge to improve your experience.
UNESCAP Logo
© United Nations ESCAP

Additional Links

  • UN Website
  • UN Website locator
  • Privacy Notice
  • Terms of Use
  • Fraud Alert

Get social with us

Newsletter

Subscribe to our monthly email newsletter.