{% load i18n mathfilters %} {% get_current_language as LANGUAGE_CODE %} {% get_current_language_bidi as LANGUAGE_BIDI %}
{% trans "Settlement" %} {{name_en}}
{% trans "District" %} {{dist_na_en}}
{% trans "Province" %} {{prov_na_en}}
{% trans "Elevation" %} {% blocktrans %}{{elevation}} m above sea level{% endblocktrans %}
{{ temperature_line_chart.as_html }}
{% blocktrans %}Current Climate data used originates from the CHELSA project, which modeled climate for the period 1979-2013 at a resolution of 1km. CHELSA is using the ERA interim global circulation model from ECMWF.{% endblocktrans %}
{% blocktrans %}Climate Change data also originates from the CHELSA project, which modelled climate change for the period time periods: 2050 (average for 2041-2060) and 2070 (average for 2061-2080) at a resolution of 1km.It is a downscaled model based upon IPPC5 using the global climate model CM5A-MR (mid resolution version of the IPSL-CM5A Earth system model){% endblocktrans %}
{% blocktrans %}For each period (2050 and 2070) we provide 3 potential climate change scenarios, using so called RCPs (Representative Concentration Pathways). These predict global average temperature change by 2100 in the range of:{% endblocktrans %}
{% blocktrans %}The range of variables contain monthly precipitation averages, monthly minimum-maximum and avergage temperature.{% endblocktrans %}
{% blocktrans %}Furthermore 19 bioclimatic variables are also available, which are for useful for operational planning, agriculture programs and DRR programs focusing on resilience.{% endblocktrans %}