Weather and Forecasting

Top Research Topics at Weather and Forecasting?

The scientific interests tackled in Weather and Forecasting are Meteorology, Climatology, Precipitation, Storm and Tropical cyclone. Mesoscale meteorology, Severe weather, Thunderstorm, Tornado and Forecast skill are all aspects of Meteorology discussed in Weather and Forecasting. The journal dives deep in exploring the relationship between the study of Mesoscale meteorology and Data assimilation.

In particular, the Tornado works presented emphasize discussions on Supercell. Research in Forecast skill discussed is concerned with the study of Statistics as a whole. The journal explores issues in Climatology which can be linked to other research areas like Snow and Convection.

Quantitative precipitation forecast is a major topic of Precipitation research presented in the journal. The research on Tropical cyclone featured in it combines topics in other fields like Typhoon and Intensity (heat transfer).

• Meteorology (67.70%)
• Climatology (45.26%)
• Precipitation (15.26%)

What are the most cited papers published in the journal?

• Decomposition of the Continuous Ranked Probability Score for Ensemble Prediction Systems (821 citations)
• The WSR-88D Rainfall Algorithm (796 citations)
• Flash Flood Forecasting: An Ingredients-Based Methodology (732 citations)

Research areas of the most cited articles at Weather and Forecasting:

Meteorology, Climatology, Storm, Mesoscale meteorology and Precipitation are the main subjects of interest in the most cited articles. Climatology research in the journal papers connects with the study of Wind speed. The journal papers with studies in Mesoscale meteorology featured incorporate elements of Snow, Convection, North American Mesoscale Model and Data assimilation.

What topics the last edition of the journal is best known for?

• Statistics
• Meteorology
• Artificial intelligence

The previous edition focused in particular on these issues:

The journal was organized to reinforce research efforts on Climatology, Meteorology, Precipitation, Tropical cyclone and Convection. In Weather and Forecasting, Lead time and Severe weather are investigated in conjunction with one another to address concerns in Climatology research. The journal investigates Meteorology research which frequently intersects with Artificial neural network.

Some problems in Precipitation that were presented in the journal overlapped with concepts under Probabilistic logic and Predictability. The Tropical cyclone study featured in it draws parallels with the field of Intensity (heat transfer).

The most cited articles from the last journal are:

• Track Dependence of Tropical Cyclone Intensity Forecast Errors in the COAMPS-TC Model (5 citations)
• Subseasonal Precipitation Prediction for Africa: Forecast Evaluation and Sources of Predictability (4 citations)
• Differences Between Severe and Nonsevere Warm-Season, Nocturnal Bow Echo Environments (3 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing in Weather and Forecasting (based on the number of publications) are:

• William A. Gallus (41 papers) published 1 paper at the last edition the same number as at the previous edition,
• Charles A. Doswell (40 papers) absent at the last edition,
• John A. Knaff (40 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• Harold E. Brooks (36 papers) published 2 papers at the last edition,
• David M. Schultz (31 papers) published 1 paper at the last edition, 4 less than at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Weather and Forecasting (based on the number of publications) are:

• National Oceanic and Atmospheric Administration (663 papers) published 29 papers at the last edition, 1 less than at the previous edition,
• Cooperative Institute for Mesoscale Meteorological Studies (193 papers) published 7 papers at the last edition, 6 less than at the previous edition,
• University of Oklahoma (157 papers) published 10 papers at the last edition, 1 less than at the previous edition,
• National Center for Atmospheric Research (157 papers) published 6 papers at the last edition, 12 less than at the previous edition,
• United States Naval Research Laboratory (85 papers) published 3 papers at the last edition, 1 more than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 10.85% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 44.35% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.83% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.00% of all publications and 27.83% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.