Article in Nature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
25 authors.
Jiajia SuState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, China.ORCID 0009-0002-2250-1984
Chiyuan MiaoState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, China. miaocy@bnu.edu.cn.ORCID 0000-0001-6413-7020
Francis ZwiersState Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China.ORCID 0000-0002-8375-5147
Hylke BeckPhysical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.ORCID 0000-0003-2553-9566
Phil JonesClimatic Research Unit, School of Environmental Sciences, University of East Anglia, Norwich, Norfolk, UK.ORCID 0000-0001-5032-5493
Qiaohong SunState Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China.ORCID 0000-0002-6131-8632
Louise J SlaterSchool of Geography and the Environment, University of Oxford, Oxford, UK.ORCID 0000-0001-9416-488X
Wouter R BerghuijsDepartment of Earth Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-7447-0051
Yoshihide WadaBiological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Makkah, Saudi Arabia.ORCID 0000-0003-4770-2539
Daniel RosenfeldInstitute of Earth Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.
Jiaojiao GouState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, China.ORCID 0000-0003-4664-6379
Yi WuState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Paolo TarolliDepartment of Land, Environment, Agriculture and Forestry, Università degli Studi di Padova, Legnaro, Italy.ORCID 0000-0003-0043-5226
Pasquale BorrelliEnvironmental Modeling and Global Change Lab, Department of Science, Roma Tre University, Rome, Italy.ORCID 0000-0002-4767-5115
Panos PanagosEuropean Commission, Joint Research Centre (JRC), Ispra, Italy.ORCID 0000-0003-1484-2738
Lisa V AlexanderClimate Change Research Centre and ARC Centre of Excellence for Weather of the 21st Century, UNSW Sydney, Sydney, Australia.
Qi ZhangState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Jinlong HuState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, China.ORCID 0000-0002-8123-7282
Seung-Ki MinDivision of Environmental Science and Engineering, Pohang University of Science and Technology, Pohang, South Korea.ORCID 0000-0002-6749-010X
Luis SamaniegoDepartment of Computational Hydrosystems, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany.ORCID 0000-0002-8449-4428
Qingyun DuanState Key Laboratory of Water Disaster Prevention, College of Hydrology and Water Resources, Hohai University, Nanjing, China.
Georgia DestouniDepartment of Physical Geography, Stockholm University, Stockholm, Sweden.ORCID 0000-0001-9408-4425
Jose A MarengoCentro Nacional de Monitoramento e Alertas de Desastres Naturais, CEMADEN, São José dos Campos, Brazil.ORCID 0000-0001-8578-7639
Reza ModarresDepartment of Natural Resources, Isfahan University of Technology, Isfahan, Iran.
Soroosh SorooshianCenter for Hydrometeorology and Remote Sensing, Department of Civil and Environmental Engineering, University of California, Irvine, Irvine, CA, USA.
Funding
Australian Research CouncilNational Natural Science Foundation of ChinaSwedish Research Council
6 · The paper itself
Abstract
Reliable future climate projections and water deficiency assessments require precipitation observations that are both spatially comprehensive and temporally complete, yet many global regions still suffer from observation sparsity
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Precipitation observing network gaps limit climate change impact assessment. · full record | OpenQuestion