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Console-Based Mapping of Mongolia Using GMT Cartographic Scripting Toolset for Processing TerraClimate Data

Authors: Lemenkova P.;

Console-Based Mapping of Mongolia Using GMT Cartographic Scripting Toolset for Processing TerraClimate Data

Abstract

This paper explores spatial variability of the ten climatic variables of Mongolia in 2019: average minimal and maximal temperatures, wind speed, soil moisture, downward surface shortwave radiation (DSRAD), snow water equivalent (SWE), vapor pressure deficit (VPD), vapor pressure anomaly (VAP), monthly precipitation and Palmer Drought Severity Index (PDSI). The PDSI demonstrates the simplified soil water balance estimating relative soil moisture conditions in Mongolia. The research presents mapping of the climate datasets derived from TerraClimate open source repository of the meteorological and climate measurements in NetCDF format. The methodology presented the compiled observations of Mongolia visualised by GMT coding approach using Generic Mapping Tools (GMT) cartographic scripting toolset. The results present 10 new maps of climate data over Mongolia made using automated cartographic techniques of GMT. Spatial environmental and climate analysis were conducted which determine relative distribution of PDSI and temperature extremes, precipitation and soil moisture, wind speed and DSRAD. The DSRAD showed minimum at 40 Wm−2, maximum at 113 Wm−2 in the Gobi Desert region, SWE (up to 491 mm), VAP and VPD compared with landmass parameters represent powerful cartographic tools to address complex regional climate and environmental issues in Mongolia, a country with contrasting topography, extreme climate conditions and unique environmental setting.

Countries
Italy, Belgium, Austria
Keywords

Q40, Renewable Resources and Conservation: Forestry, Valuation of Environmental Effects, Dynamic Analysis, Global Warming, Géographie physique, mapping, Model Evaluation and Selection, Q51, Géodésie, QE1-996.5, Energy, sustainable development, Q54, Mathematical Methods and Programming: Other, Geology, script, Géodésie appliquée topographie [télédétection], [SDV.EE] Life Sciences [q-bio]/Ecology, environment, climate change, environment, Earth science, Environment, programming, Géodésie appliquée topographie [géodésie], C30, Programming Models, climate, desert, Cartographie, Pictures and Maps, Mathematical Methods and Programming: General, Mongolia, Umfeld, Multiple or Simultaneous Equation Models: General, Asien, [SDE.MCG] Environmental Sciences/Global Changes, Klima, Climatologie, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], Photogrammétrie - cartographie, [SDE] Environmental Sciences, geoscience, Climate, Renewable Resources and Conservation: Water, [INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR], Optimization Techniques, Kartographie, drought, Q01, [SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology, C52, GMT, Gobi Desert, Sustainable Development, Y91, [SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces, environment, C60, C61, C63, C69, [SDE.IE] Environmental Sciences/Environmental Engineering, Sciences exactes et naturelles, Systèmes d'information géographique, Computer Programs: Other Computer Software, Asia, Natural Disasters, Asia; cartography; climate; environment; GMT; Mongolia, geosciences, Computer Programs: General, [INFO] Computer Science [cs], Sciences de l'ingénieur, Q23, Q25, Energy: General, Data Collection and Data Estimation Methodology, Computational Techniques, Mongolei, Mongolia; Asia; climate; environment; cartography; GMT, cartography, environmental sustainability, Alternative Energy Sources, P18, [INFO.INFO-PL] Computer Science [cs]/Programming Languages [cs.PL], [SDE.BE] Environmental Sciences/Biodiversity and Ecology, C80, [SDU.STU] Sciences of the Universe [physics]/Earth Sciences, C88

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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