Skip to main navigation
Skip to search
Skip to main content
KAUST PORTAL FOR RESEARCHERS AND STUDENTS Home
Help & FAQ
Home
Profiles
Research units
Research output
Press/Media
Prizes
Courses
Equipment
Student theses
Datasets
Search by expertise, name or affiliation
Data-driven analysis of climate change in Saudi Arabia: trends in temperature extremes and human comfort indicators
Natalia Odnoletkova
,
Tadeusz Patzek
Earth Science and Engineering
Physical Sciences and Engineering
Energy Resources and Petroleum Engineering
Ali I. Al-Naimi Petroleum Engineering Research Center
Research output
:
Contribution to journal
›
Article
›
peer-review
14
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Data-driven analysis of climate change in Saudi Arabia: trends in temperature extremes and human comfort indicators'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Earth and Planetary Sciences
Temperature
100%
Datum
44%
Trend
44%
Saudi Arabia
33%
Region
22%
Country
22%
Climate Change
11%
High Resolution
11%
Extreme Event
11%
Northern Hemisphere
11%
Air Conditioning
11%
Weather Station
11%
Moisture Content
11%
Dew Point
11%
Thermal Comfort
11%
Investigation
11%
Area
11%
Rate
11%
Air
11%
Time
11%
Observation
11%
Winter
11%
Summer
11%
Record
11%
Medium
11%
Climate
11%
Monitoring
11%
Event
11%
Humidity
11%
Land
11%
Interval
11%
Rest
11%
Survival
11%
Comfort
11%
Biochemistry, Genetics and Molecular Biology
Temperature
100%
Humidity
11%
Time
11%
Survival
11%
Conditioning
11%
Rest
11%