Science Explorer Interactive view Map

Meteorological Phenomena and Simulations

Meteorological Phenomena and Simulations is a research topic within Atmospheric Science. Science Explorer counts 68k research works in it since 1950. 19.6% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on advancements in numerical weather prediction models, including topics such as ensemble Kalman filtering, data assimilation, convective parameterization, mesoscale modeling, probabilistic forecasting, microphysics schemes, boundary layer processes, radiative transfer models, hydrological modeling, and atmospheric dynamics.

  • Ensemble Kalman Filter
  • Data Assimilation
  • Convective Parameterization
  • Mesoscale Modeling
  • Probabilistic Forecasting
  • Microphysics Scheme
  • Boundary Layer
  • Radiative Transfer Model
  • Hydrological Model
  • Atmospheric Dynamics
Research works
68k
fractional, since 1950
In the world top 10%
13k
per year above
Top-10% rate
19.6%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+19%
the tick is no change

Which countries lead Meteorological Phenomena and Simulations research?

By volume, China and the United States publish the most (3.1k and 2.5k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 3.1k works
  2. 2 United States 2.5k works
  3. 3 India 709 works
  4. 4 United Kingdom 486 works
  5. 5 Germany 469 works
  6. 6 France 421 works
  7. 7 Japan 363 works
  8. 8 Russia 292 works
  9. 9 Italy 281 works
  10. 10 South Korea 246 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 35.2%United States: 28.0%India: 8.0%United Kingdom: 5.5%6 others listed: 23.4%35%largest
China3,116 · 35.2%United States2,482 · 28.0%India709 · 8.0%United Kingdom486 · 5.5%6 others listed2,072 · 23.4%

Shares of the rows listed above, not of the whole node.

Which institutions lead Meteorological Phenomena and Simulations research?

By volume in 2022–2025, China Meteorological Administration publishes the most Meteorological Phenomena and Simulations research, followed by Nanjing University of Information Science and Technology and Chinese Academy of Sciences.

Who are the leading researchers in Meteorological Phenomena and Simulations?

The most-cited researchers publishing on Meteorological Phenomena and Simulations include Adrian E. Raftery, Eugenia Kalnay and William D. Collins.

  1. 1 Adrian E. Raftery United States 5k citations
  2. 2 Eugenia Kalnay United States 5k citations
  3. 3 William D. Collins United States 4.7k citations
  4. 4 John E. Janowiak United States 4.6k citations
  5. 5 Masao Kanamitsu United States 4.5k citations
  6. 6 Edward N. Lorenz United States 4.4k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Meteorological Phenomena and Simulations research done?

The largest centres of Meteorological Phenomena and Simulations research in 2022–2025 are Beijing (China), Nanjing (China), Boulder (United States) and Moscow (Russia). Among places with at least 20 works in it, it is an unusually large share of all research in Tsukuba and Offenbach.

Largest cities, 2022–2025

  1. 1 Beijing China 1.1k works
  2. 2 Nanjing China 442 works
  3. 3 Boulder United States 232 works
  4. 4 Moscow Russia 149 works
  5. 5 Shanghai China 144 works
  6. 6 Paris France 133 works
  7. 7 Guangzhou China 127 works
  8. 8 Tokyo Japan 123 works
  9. 9 New Delhi India 117 works
  10. 10 Norman United States 115 works

Where it is the local speciality

  1. Tsukuba22.6 works181×
  2. OffenbachDE · 22.5 works102×
← less than its size predictsmore →

Location quotient: how much more of its research is in Meteorological Phenomena and Simulations than the world average.

See Meteorological Phenomena and Simulations on the map

Where is the best place to study Meteorological Phenomena and Simulations?

Among universities, judged by research, Nanjing University of Information Science and Technology, National University of Defense Technology and University of Reading score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 18.69%fractional works in this node (log) →share in the world top 10% →Nanjing University of Information Science and Technology: 251, 14.1%National University of Defense Technology: 79, 11.8%University of Reading: 50, 22.1%Université Fédérale de Toulouse Midi-Pyrénées: 18, 22.1%Ocean University of China: 57, 19.4%University of Colorado Boulder: 46, 19.7%ETH Zurich: 43, 33.4%Colorado State University: 81, 11.4%Chengdu University of Information Technology: 47, 9.4%Beijing Normal University: 48, 23.5%University of ReadingUniversité Fédérale …Nanjing University o…National University …
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Nanjing University of Information Science and TechnologyChina 63.014.1%55.2×251 +85.9%
2 National University of Defense TechnologyChina 56.611.8%9.1×79 +186.2%
3 University of ReadingUnited Kingdom 55.422.1%23.4×50 -2.5%
4 Université Fédérale de Toulouse Midi-PyrénéesFrance 54.922.1%10.1×18 +86.3%
5 Ocean University of ChinaChina 54.719.4%10.0×57 +46.0%
6 University of Colorado BoulderUnited States 54.519.7%10.7×46 +48.9%
7 ETH ZurichSwitzerland 52.533.4%5.8×43 +10.9%
8 Colorado State UniversityUnited States 52.011.4%20.3×81 +44.9%
9 Chengdu University of Information TechnologyChina 51.39.4%31.1×47 +119.7%
10 Beijing Normal UniversityChina 50.223.5%6.2×48 +103.5%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Meteorological Phenomena and Simulations research growing?

Output in 2018–2022 was 19% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Meteorological Phenomena and Simulations.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.