Marion Mittermaier

2.8k total citations
50 papers, 1.3k citations indexed

About

Marion Mittermaier is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Marion Mittermaier has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Atmospheric Science, 39 papers in Global and Planetary Change and 8 papers in Environmental Engineering. Recurrent topics in Marion Mittermaier's work include Meteorological Phenomena and Simulations (41 papers), Climate variability and models (30 papers) and Precipitation Measurement and Analysis (17 papers). Marion Mittermaier is often cited by papers focused on Meteorological Phenomena and Simulations (41 papers), Climate variability and models (30 papers) and Precipitation Measurement and Analysis (17 papers). Marion Mittermaier collaborates with scholars based in United Kingdom, United States and Australia. Marion Mittermaier's co-authors include Nigel Roberts, Anthony J. Illingworth, Robin J. Hogan, Anthony Illingworth, Randy Bullock, Rachel North, Elizabeth E. Ebert, Laurence J. Wilson, Barbara G. Brown and Deon Terblanche and has published in prestigious journals such as Journal of Hydrology, Monthly Weather Review and Bulletin of the American Meteorological Society.

In The Last Decade

Marion Mittermaier

46 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marion Mittermaier 1.1k 1.1k 165 86 70 50 1.3k
Thorsten Reinhardt 815 0.7× 775 0.7× 134 0.8× 45 0.5× 61 0.9× 8 945
Ramesh Vellore 938 0.8× 980 0.9× 116 0.7× 120 1.4× 63 0.9× 44 1.2k
Gwenaëlle Hello 892 0.8× 780 0.7× 213 1.3× 138 1.6× 32 0.5× 11 1.0k
Everette Joseph 1.1k 0.9× 925 0.9× 180 1.1× 37 0.4× 43 0.6× 45 1.2k
Laurence J. Wilson 934 0.8× 847 0.8× 193 1.2× 172 2.0× 71 1.0× 26 1.2k
Haidao Lin 794 0.7× 679 0.6× 165 1.0× 54 0.6× 33 0.5× 6 923
Randy Bullock 1.2k 1.1× 1.1k 1.1× 120 0.7× 68 0.8× 45 0.6× 17 1.3k
J. Steppeler 711 0.6× 621 0.6× 143 0.9× 102 1.2× 81 1.2× 29 934
Ben Jong‐Dao Jou 1.1k 1.0× 778 0.7× 168 1.0× 234 2.7× 32 0.5× 59 1.2k
Kohei Aranami 751 0.7× 651 0.6× 103 0.6× 136 1.6× 27 0.4× 9 866

Countries citing papers authored by Marion Mittermaier

Since Specialization
Citations

This map shows the geographic impact of Marion Mittermaier's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marion Mittermaier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marion Mittermaier more than expected).

Fields of papers citing papers by Marion Mittermaier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marion Mittermaier. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marion Mittermaier. The network helps show where Marion Mittermaier may publish in the future.

Co-authorship network of co-authors of Marion Mittermaier

This figure shows the co-authorship network connecting the top 25 collaborators of Marion Mittermaier. A scholar is included among the top collaborators of Marion Mittermaier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marion Mittermaier. Marion Mittermaier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mittermaier, Marion, Seshagiri Rao Kolusu, & Joanne Robbins. (2024). Mitigating against the between‐ensemble‐member precipitation bias in a lagged sub‐seasonal ensemble. Meteorological Applications. 31(3).
2.
Pagano, Thomas C., Barbara Casati, Robert Taggart, et al.. (2024). Challenges of Operational Weather Forecast Verification and Evaluation. Bulletin of the American Meteorological Society. 105(4). E789–E802. 3 indexed citations
3.
Bush, Mike, Ian Boutle, John Edwards, et al.. (2023). The second Met Office Unified Model–JULES Regional Atmosphere and Land configuration, RAL2. Geoscientific model development. 16(6). 1713–1734. 34 indexed citations
4.
Kolusu, Seshagiri Rao, Marion Mittermaier, Joanne Robbins, Raghavendra Ashrit, & Ashis K. Mitra. (2023). Novel evaluation of sub‐seasonal precipitation ensemble forecasts for identifying high‐impact weather events associated with the Indian monsoon. Meteorological Applications. 30(4). 2 indexed citations
5.
6.
7.
Marsigli, Chiara, Elizabeth E. Ebert, Raghavendra Ashrit, et al.. (2021). Review article: Observations for high-impact weather and their use in verification. Natural hazards and earth system sciences. 21(4). 1297–1312. 12 indexed citations
8.
Randriamampianina, Roger, et al.. (2021). Crowd‐sourced observations for short‐range numerical weather prediction: Report from EWGLAM/SRNWP Meeting 2019. Atmospheric Science Letters. 22(6). 7 indexed citations
9.
10.
Marsigli, Chiara, Elizabeth E. Ebert, Raghavendra Ashrit, et al.. (2020). Observations for high-impact weather and their use in verification. 3 indexed citations
11.
Mittermaier, Marion, et al.. (2020). An approach to the verification of high-resolution ocean models using spatial methods. Ocean science. 16(4). 831–845. 16 indexed citations
12.
Mittermaier, Marion. (2019). A “Meta” Analysis of the Fractions Skill Score: The Limiting Case and Implications for Aggregation. Monthly Weather Review. 149(10). 3491–3504. 21 indexed citations
13.
Macpherson, Bruce, Robert N. Tubbs, Gordon Inverarity, et al.. (2019). Hourly 4D‐Var in the Met Office UKV operational forecast model. Quarterly Journal of the Royal Meteorological Society. 146(728). 1281–1301. 33 indexed citations
14.
Mittermaier, Marion, et al.. (2018). Modeling TITAN Control Clouds. The Journal of Weather Modification. 34(1). 100–103. 1 indexed citations
15.
Dorninger, Manfred, Eric Gilleland, Barbara Casati, et al.. (2018). The Setup of the MesoVICT Project. Bulletin of the American Meteorological Society. 99(9). 1887–1906. 37 indexed citations
16.
Mittermaier, Marion. (2008). Introducing uncertainty of radar-rainfall estimates to the verification of mesoscale model precipitation forecasts. Natural hazards and earth system sciences. 8(3). 445–460. 13 indexed citations
17.
Mittermaier, Marion, Anthony Illingworth, & Robin J. Hogan. (2006). Assessing vertical resolution requirements for operational weather radar data quality. Atmospheric Science Letters. 7(1). 9–14. 1 indexed citations
18.
Mittermaier, Marion. (2006). Using an intensity‐scale technique to assess the added benefit of high‐resolution model precipitation forecasts. Atmospheric Science Letters. 7(2). 36–42. 23 indexed citations
19.
Terblanche, Deon, Marion Mittermaier, Stuart Piketh, Tjasse D. Bruintjes, & Roelof Burger. (2000). The aerosol recirculation and rainfall experiment (ARREX): An initial study on aerosol-cloud interactions over South Africa. South African Journal of Science. 96(1). 15–21. 9 indexed citations
20.
Terblanche, Deon, et al.. (2000). Toward the Operational Application of Hygroscopic Flares for Rainfall Enhancement in South Africa. Journal of Applied Meteorology. 39(11). 1811–1821. 10 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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