Eric P. Grimit

1.6k total citations
17 papers, 1.1k citations indexed

About

Eric P. Grimit is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Eric P. Grimit has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 13 papers in Atmospheric Science and 7 papers in Environmental Engineering. Recurrent topics in Eric P. Grimit's work include Meteorological Phenomena and Simulations (13 papers), Climate variability and models (10 papers) and Wind and Air Flow Studies (7 papers). Eric P. Grimit is often cited by papers focused on Meteorological Phenomena and Simulations (13 papers), Climate variability and models (10 papers) and Wind and Air Flow Studies (7 papers). Eric P. Grimit collaborates with scholars based in United States, Germany and Switzerland. Eric P. Grimit's co-authors include Clifford F. Mass, Tilmann Gneiting, Nicholas Johnson, Leonhard Held, Larissa Stanberry, Cameron Potter, Veronica J. Berrocal, Jim McCaa, Adrian E. Raftery and J. Sharp and has published in prestigious journals such as Monthly Weather Review, Solar Energy and Bulletin of the American Meteorological Society.

In The Last Decade

Eric P. Grimit

16 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Eric P. Grimit United States	13	502	499	379	234	225	17	1.1k
Sebastian Lerch Germany	18	712 1.4×	629 1.3×	295 0.8×	211 0.9×	346 1.5×	45	1.2k
Stefano Castruccio United States	18	329 0.7×	569 1.1×	99 0.3×	97 0.4×	344 1.5×	55	1.1k
Sándor Baran Hungary	12	207 0.4×	208 0.4×	168 0.4×	138 0.6×	169 0.8×	56	589
Jakob W. Messner Austria	15	373 0.7×	337 0.7×	234 0.6×	113 0.5×	133 0.6×	27	723
Thordis L. Thorarinsdottir Norway	18	744 1.5×	926 1.9×	178 0.5×	94 0.4×	310 1.4×	41	1.4k
Kenneth J. Westrick United States	9	532 1.1×	470 0.9×	312 0.8×	70 0.3×	124 0.6×	10	908
Pierre Ailliot France	15	307 0.6×	316 0.6×	140 0.4×	94 0.4×	154 0.7×	44	812
Rudy Calif France	16	91 0.2×	141 0.3×	306 0.8×	256 1.1×	201 0.9×	25	735
Michaël Zamo France	7	185 0.4×	161 0.3×	257 0.7×	251 1.1×	81 0.4×	8	539
Anton H. Westveld Australia	4	459 0.9×	509 1.0×	114 0.3×	96 0.4×	186 0.8×	5	829

Countries citing papers authored by Eric P. Grimit

Since Specialization

Citations

This map shows the geographic impact of Eric P. Grimit'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 Eric P. Grimit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric P. Grimit more than expected).

Fields of papers citing papers by Eric P. Grimit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric P. Grimit. 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 Eric P. Grimit. The network helps show where Eric P. Grimit may publish in the future.

Co-authorship network of co-authors of Eric P. Grimit

This figure shows the co-authorship network connecting the top 25 collaborators of Eric P. Grimit. A scholar is included among the top collaborators of Eric P. Grimit 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 Eric P. Grimit. Eric P. Grimit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Said, R., Eric P. Grimit, & Martin J. Murphy. (2025). A Multiyear CONUS‐Wide Analysis of Lightning Strikes to Wind Turbines. Wind Energy. 28(3).

Liu, Ye, Yun Qian, Sha Feng, et al.. (2022). Calibration of cloud and aerosol related parameters for solar irradiance forecasts in WRF-solar. Solar Energy. 241. 1–12. 10 indexed citations

Djalalova, Irina V., Laura Bianco, James M. Wilczak, et al.. (2020). Wind Ramp Events Validation in NWP Forecast Models during the Second Wind Forecast Improvement Project (WFIP2) Using the Ramp Tool and Metric (RT&M). Weather and Forecasting. 35(6). 2407–2421. 7 indexed citations

Bianco, Laura, Irina V. Djalalova, James M. Wilczak, et al.. (2019). Impact of model improvements on 80 m wind speeds during the second Wind Forecast Improvement Project (WFIP2). Geoscientific model development. 12(11). 4803–4821. 25 indexed citations

Shaw, William J., Larry K. Berg, Joël Cline, et al.. (2019). The Second Wind Forecast Improvement Project (WFIP2): General Overview. Bulletin of the American Meteorological Society. 100(9). 1687–1699. 59 indexed citations

McCaffrey, Katherine, James M. Wilczak, Laura Bianco, et al.. (2019). Identification and Characterization of Persistent Cold Pool Events from Temperature and Wind Profilers in the Columbia River Basin. Journal of Applied Meteorology and Climatology. 58(12). 2533–2551. 21 indexed citations

Tuohy, Aidan, John W. Zack, Sue Ellen Haupt, et al.. (2015). Solar Forecasting: Methods, Challenges, and Performance. IEEE Power and Energy Magazine. 13(6). 50–59. 158 indexed citations

Kleiber, William, Adrian E. Raftery, J.A. Baars, et al.. (2011). Locally Calibrated Probabilistic Temperature Forecasting Using Geostatistical Model Averaging and Local Bayesian Model Averaging. Monthly Weather Review. 139(8). 2630–2649. 42 indexed citations

Potter, Cameron, Eric P. Grimit, & Bart Nijssen. (2009). Potential benefits of a dedicated probabilistic rapid ramp event forecast tool. 1–5. 47 indexed citations

10.

Bao, Le, Tilmann Gneiting, Eric P. Grimit, Peter Guttorp, & Adrian E. Raftery. (2009). Bias Correction and Bayesian Model Averaging for Ensemble Forecasts of Surface Wind Direction. Monthly Weather Review. 138(5). 1811–1821. 60 indexed citations

11.

Gneiting, Tilmann, Larissa Stanberry, Eric P. Grimit, Leonhard Held, & Nicholas Johnson. (2008). Rejoinder on: Assessing probabilistic forecasts of multivariate quantities, with an application to ensemble predictions of surface winds. Test. 17(2). 256–264. 4 indexed citations

12.

Mass, Clifford F., et al.. (2008). Removal of Systematic Model Bias on a Model Grid. Weather and Forecasting. 23(3). 438–459. 36 indexed citations

13.

Gneiting, Tilmann, Larissa Stanberry, Eric P. Grimit, Leonhard Held, & Nicholas Johnson. (2008). Assessing probabilistic forecasts of multivariate quantities, with an application to ensemble predictions of surface winds. Test. 17(2). 211–235. 186 indexed citations

14.

Potter, Cameron, et al.. (2008). Creating the Dataset for the Western Wind and Solar Integration Study (U.S.A.). Wind Engineering. 32(4). 325–338. 99 indexed citations

15.

Grimit, Eric P. & Clifford F. Mass. (2007). Measuring the Ensemble Spread–Error Relationship with a Probabilistic Approach: Stochastic Ensemble Results. Monthly Weather Review. 135(1). 203–221. 59 indexed citations

16.

Grimit, Eric P., Tilmann Gneiting, Veronica J. Berrocal, & Nicholas Johnson. (2006). The continuous ranked probability score for circular variables and its application to mesoscale forecast ensemble verification. Quarterly Journal of the Royal Meteorological Society. 132(621C). 2925–2942. 106 indexed citations

17.

Grimit, Eric P. & Clifford F. Mass. (2002). Initial Results of a Mesoscale Short-Range Ensemble Forecasting System over the Pacific Northwest. Weather and Forecasting. 17(2). 192–205. 153 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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