What is he best known for?
The fields of study he is best known for:
- Climate change
- Climatology
- Meteorology
His scientific interests lie mostly in Climatology, Precipitation, Atmospheric circulation, Northern Hemisphere and Atmospheric temperature.
Heinz Wanner specializes in Climatology, namely North Atlantic oscillation.
His Precipitation study deals with Empirical orthogonal functions intersecting with Wet season, Mediterranean sea, Zonal flow and Middle latitudes.
The concepts of his Northern Hemisphere study are interwoven with issues in Monsoon and Intertropical Convergence Zone.
His research investigates the connection between Intertropical Convergence Zone and topics such as Meltwater that intersect with issues in Holocene.
His studies deal with areas such as Regional science, Historical climatology, Field and Mean radiant temperature as well as Atmospheric temperature.
His most cited work include:
- European seasonal and annual temperature variability, trends, and extremes since 1500. (1344 citations)
- Mid- to Late Holocene climate change: an overview (1123 citations)
- 2500 Years of European Climate Variability and Human Susceptibility (816 citations)
What are the main themes of his work throughout his whole career to date?
Heinz Wanner focuses on Climatology, Climate change, Precipitation, Atmospheric circulation and Meteorology.
Heinz Wanner has researched Climatology in several fields, including Period, Climate model and Paleoclimatology.
In Climate change, Heinz Wanner works on issues like Holocene, which are connected to Thermohaline circulation and Northern Hemisphere.
His Precipitation research integrates issues from Series and Physical geography.
His biological study spans a wide range of topics, including Downscaling, Sea level, Mediterranean climate, Anomaly and Atmospheric temperature.
His work carried out in the field of Meteorology brings together such families of science as Air pollution, Atmospheric sciences and Extreme value theory.
He most often published in these fields:
- Climatology (85.35%)
- Climate change (26.11%)
- Precipitation (24.20%)
What were the highlights of his more recent work (between 2012-2018)?
- Climatology (85.35%)
- Holocene (16.56%)
- Paleoclimatology (11.46%)
In recent papers he was focusing on the following fields of study:
Heinz Wanner mainly focuses on Climatology, Holocene, Paleoclimatology, Climate model and Southern Hemisphere.
In the field of Climatology, his study on Northern Hemisphere and North Atlantic oscillation overlaps with subjects such as Data model.
Heinz Wanner works mostly in the field of North Atlantic oscillation, limiting it down to concerns involving Atmospheric circulation and, occasionally, Precipitation.
His work deals with themes such as Volcano and Glacier, Glacier mass balance, which intersect with Holocene.
His Paleoclimatology research incorporates elements of Period and Forcing.
His research integrates issues of Proxy and Radiative forcing in his study of Climate model.
Between 2012 and 2018, his most popular works were:
- Continental-scale temperature variability during the past two millennia (709 citations)
- Holocene glacier fluctuations (199 citations)
- European summer temperatures since Roman times (164 citations)
In his most recent research, the most cited papers focused on:
- Climate change
- Meteorology
- Statistics
His primary scientific interests are in Climatology, Paleoclimatology, Climate change, Northern Hemisphere and Southern Hemisphere.
His study in Climatology is interdisciplinary in nature, drawing from both Ice age, Climate model, Holocene, Holocene climatic optimum and Radiative forcing.
His Ice age study integrates concerns from other disciplines, such as Centennial and Period.
His study in Climate model is interdisciplinary in nature, drawing from both Solar irradiance, Mean radiant temperature, Forcing and Atmospheric temperature.
His studies deal with areas such as Glacier, Glacial period, Moraine and Glacier mass balance as well as Holocene.
His research in Radiative forcing intersects with topics in Proxy and Predictability.
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