Anca Brookshaw

3.5k total citations
24 papers, 998 citations indexed

About

Anca Brookshaw is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Anca Brookshaw has authored 24 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Global and Planetary Change, 15 papers in Atmospheric Science and 6 papers in Water Science and Technology. Recurrent topics in Anca Brookshaw's work include Climate variability and models (17 papers), Meteorological Phenomena and Simulations (12 papers) and Atmospheric and Environmental Gas Dynamics (6 papers). Anca Brookshaw is often cited by papers focused on Climate variability and models (17 papers), Meteorological Phenomena and Simulations (12 papers) and Atmospheric and Environmental Gas Dynamics (6 papers). Anca Brookshaw collaborates with scholars based in United Kingdom, United States and Switzerland. Anca Brookshaw's co-authors include Adam A. Scaife, M. K. Davey, Sarah Ineson, Alberto Arribas, Craig MacLachlan, Margaret Gordon, Emily Wallace, Victoria A. Bell, Helen Davies and Katherine Pond and has published in prestigious journals such as Journal of Hydrology, Bulletin of the American Meteorological Society and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Anca Brookshaw

24 papers receiving 970 citations

Peers

Anca Brookshaw

GPC

AS

OCEAN

WST

EE

Nobuyuki Utsumi Japan

Insa Thiele-Eich Germany

B. Koné Mali

Doerte Jakob Australia

Thando Ndarana South Africa

Christof Lorenz Germany

D. R. Pattanaik India

Nasrin Nasrollahi United States

Piet K. Kenabatho Botswana

K. O. Asante United States

Nobuyuki Utsumi Japan

Anca Brookshaw

668 ×0.8

GPC

529 ×0.8

AS

39 ×0.2

OCEAN

231 ×1.3

WST

85 ×1.1

EE

Citations per year, relative to Anca Brookshaw Anca Brookshaw (= 1×) peers Nobuyuki Utsumi

Countries citing papers authored by Anca Brookshaw

Since Specialization

Citations

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

Fields of papers citing papers by Anca Brookshaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anca Brookshaw. 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 Anca Brookshaw. The network helps show where Anca Brookshaw may publish in the future.

Co-authorship network of co-authors of Anca Brookshaw

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

All Works

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20 of 20 papers shown

1.

Durack, Paul J., Vaishali Naïk, Zebedee Nicholls, et al.. (2025). Earth System Forcing for CMIP7 and Beyond. Bulletin of the American Meteorological Society. 106(8). E1580–E1588. 1 indexed citations

2.

Molteni, Franco & Anca Brookshaw. (2023). Early- and late-winter ENSO teleconnections to the Euro-Atlantic region in state-of-the-art seasonal forecasting systems. Climate Dynamics. 61(5-6). 2673–2692. 17 indexed citations

3.

Findell, Kirsten L., Rowan Sutton, Nico Caltabiano, et al.. (2022). Explaining and Predicting Earth System Change: A World Climate Research Programme Call to Action. Bulletin of the American Meteorological Society. 104(1). E325–E339. 8 indexed citations

4.

Hemri, Stephan, Jonas Bhend, Mark A. Liniger, et al.. (2020). How to create an operational multi-model of seasonal forecasts?. Climate Dynamics. 55(5-6). 1141–1157. 18 indexed citations

5.

Manzanas, Rodrigo, José Manuel Gutiérrez, Jonas Bhend, et al.. (2020). Statistical adjustment, calibration and downscaling of seasonal forecasts: a case-study for Southeast Asia. Climate Dynamics. 54(5-6). 2869–2882. 11 indexed citations

6.

Hemri, Stephan, Jonas Bhend, Rodrigo Manzanas, et al.. (2019). Evaluation and quality control for seasonal forecasts of the Copernicus Climate Change Service. UCrea (University of Cantabria). 6773. 2 indexed citations

7.

Manzanas, Rodrigo, José Manuel Gutiérrez, Jonas Bhend, et al.. (2019). Bias adjustment and ensemble recalibration methods for seasonal forecasting: a comprehensive intercomparison using the C3S dataset. Climate Dynamics. 53(3-4). 1287–1305. 59 indexed citations

8.

Bell, Victoria A., Helen Davies, Alison L. Kay, Anca Brookshaw, & Adam A. Scaife. (2017). A national-scale seasonal hydrological forecast system: development and evaluation over Britain. Hydrology and earth system sciences. 21(9). 4681–4691. 37 indexed citations

9.

Li, Chaofan, Adam A. Scaife, Riyu Lu, et al.. (2016). Skillful seasonal prediction of Yangtze river valley summer rainfall. Environmental Research Letters. 11(9). 94002–94002. 64 indexed citations

10.

Mackay, Jonathan, Christopher Jackson, Anca Brookshaw, et al.. (2015). Seasonal forecasting of groundwater levels in principal aquifers of the United Kingdom. Journal of Hydrology. 530. 815–828. 37 indexed citations

11.

Camp, Joanne, Malcolm Roberts, Craig MacLachlan, et al.. (2015). Seasonal forecasting of tropical storms using the Met Office GloSea5 seasonal forecast system. Quarterly Journal of the Royal Meteorological Society. 141(691). 2206–2219. 94 indexed citations

12.

Svensson, Cecilia, Anca Brookshaw, Adam A. Scaife, et al.. (2015). Long-range forecasts of UK winter hydrology. Environmental Research Letters. 10(6). 64006–64006. 68 indexed citations

13.

Palin, Erika J., Adam A. Scaife, Emily Wallace, et al.. (2015). Skillful Seasonal Forecasts of Winter Disruption to the U.K. Transport System. Journal of Applied Meteorology and Climatology. 55(2). 325–344. 58 indexed citations

14.

Davey, M. K., Anca Brookshaw, & Sarah Ineson. (2014). The probability of the impact of ENSO on precipitation and near-surface temperature. Climate Risk Management. 1. 5–24. 97 indexed citations

15.

Bell, Victoria A., Helen Davies, Alison L. Kay, et al.. (2013). Developing a large‐scale water‐balance approach to seasonal forecasting: application to the 2012 drought in Britain. Hydrological Processes. 27(20). 3003–3012. 28 indexed citations

16.

Davey, Michael & Anca Brookshaw. (2011). Long-range meteorological forecasting and links to agricultural applications. Food Policy. 36. S88–S93. 7 indexed citations

17.

Howard, Guy, Katrina Charles, Katherine Pond, et al.. (2010). Securing 2020 vision for 2030: climate change and ensuring resilience in water and sanitation services. Journal of Water and Climate Change. 1(1). 2–2. 63 indexed citations

18.

Graham, Richard, Christopher Gordon, M. R. Huddleston, et al.. (2006). The 2005/06 winter in Europe and the United Kingdom:Part 1 –How the Met Office forecast was produced and communicated. Weather. 61(12). 327–336. 19 indexed citations

19.

Graham, Richard, Margaret Gordon, Peter McLean, et al.. (2005). A performance comparison of coupled and uncoupled versions of the Met Office seasonal prediction general circulation model. Tellus A Dynamic Meteorology and Oceanography. 57(3). 320–320. 51 indexed citations

20.

Graham, Richard, Margaret Gordon, Peter McLean, et al.. (2005). A performance comparison of coupled and uncoupled versions of the Met Office seasonal prediction general circulation model. Tellus A Dynamic Meteorology and Oceanography. 57(3). 320–339. 21 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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