2634-4602

Environmental Data Science

Cambridge University Press

Health Score

0 Excellent

Metadata coverage

Abstract
ORCID
References
License

Extended metadata coverage

Informational — signals of interoperability and funding across the corpus. Not part of the health score.

Funding

Funder
Award / grant

Affiliation & institutional identifiers

Affiliation
ROR ID

Update policy

Update policy

Your prioritized action plan

Ordered by how many DOIs each fix touches — start here, not with every error at once.

1

Add abstracts to 12 articles

Abstracts are what surface your work in Google Scholar, Dimensions, and OpenAlex.

Low impact12 DOIs

DOIs for this ISSN

Showing the top 5 of 194 DOIs, ordered by correction priority.

# Title Missing Priority Citations
1 Ensemble-based 4DVarNet uncertainty quantification for the r… (10.1017/eds.2023.27)
Abstract
7.53 1
2 Limitations of econometric evaluation of nonrandomized resid… (10.1017/eds.2021.1)
0.00 1
3 Predicting years with extremely low gross primary production… (10.1017/eds.2022.1)
0.00 4
4 A sensitivity analysis of a regression model of ocean temper… (10.1017/eds.2022.10)
0.00 4
5 A spatiotemporal stochastic climate model for benchmarking c… (10.1017/eds.2022.11)
0.00 13
6 High-resolution tropical rain-forest canopy climate data (10.1017/eds.2022.12)
0.00 2
7 Advancing interpretability of machine-learning prediction mo… (10.1017/eds.2022.13)
0.00 4
8 Quantifying uncertainty in land cover mappings: An adaptive… (10.1017/eds.2022.14)
0.00 0
9 Statistical mechanics in climate emulation: Challenges and p… (10.1017/eds.2022.15)
0.00 9
10 Unsupervised domain adaptation for Global Precipitation Meas… (10.1017/eds.2022.16)
0.00 4
11 Detection and attribution of climate change: A deep learning… (10.1017/eds.2022.17)
0.00 3
12 Predicting cyclone landfall using mutual information and dil… (10.1017/eds.2022.18)
0.00 7
13 Modeling stratospheric polar vortex variation and identifyin… (10.1017/eds.2022.19)
0.00 8
14 Evolution of machine learning in environmental science—A per… (10.1017/eds.2022.2)
0.00 21
15 Week-ahead solar irradiance forecasting with deep sequence l… (10.1017/eds.2022.20)
0.00 4
16 Toward data assimilation of ship-induced aerosol–cloud inter… (10.1017/eds.2022.21)
0.00 2
17 Physics-informed learning of aerosol microphysics (10.1017/eds.2022.22)
0.00 18
18 ResDeepD: A residual super-resolution network for deep downs… (10.1017/eds.2022.23)
0.00 22
19 A dependent multimodel approach to climate prediction with G… (10.1017/eds.2022.24)
0.00 1
20 Modeling the relationship between vertical temperature profi… (10.1017/eds.2022.25)
0.00 0
21 DL4DS—Deep learning for empirical downscaling (10.1017/eds.2022.26)
0.00 10
22 A climatic random forest model of agricultural insurance los… (10.1017/eds.2022.27)
0.00 1
23 Sea surface height super-resolution using high-resolution se… (10.1017/eds.2022.28)
0.00 10
24 A Gaussian process state-space model for sea surface tempera… (10.1017/eds.2022.29)
0.00 0
25 PaleoRec: A sequential recommender system for the annotation… (10.1017/eds.2022.3)
0.00 0
26 Long-term stability and generalization of observationally-co… (10.1017/eds.2022.30)
0.00 5
27 Deep prior in variational assimilation to estimate an ocean… (10.1017/eds.2022.31)
0.00 0
28 Stochastic parameterization of column physics using generati… (10.1017/eds.2022.32)
0.00 7
29 A spatiotemporal stochastic climate model for benchmarking c… (10.1017/eds.2022.33)
Abstract
0.00 0
30 Variable ranking and selection with random forest for unbala… (10.1017/eds.2022.34)
0.00 21
31 Learning the spatiotemporal relationship between wind and si… (10.1017/eds.2022.35)
0.00 7
32 Rapid assessment of vessel noise events and quiet periods in… (10.1017/eds.2022.36)
0.00 4
33 Modeling and simulating spatial extremes by combining extrem… (10.1017/eds.2022.4)
0.00 39
34 Why we need to focus on developing ethical, responsible, and… (10.1017/eds.2022.5)
0.00 82
35 Forecasting commodity returns by exploiting climate model fo… (10.1017/eds.2022.6)
0.00 9
36 Neural network attribution methods for problems in geoscienc… (10.1017/eds.2022.7)
0.00 60
37 Predicting spatiotemporal variability in radial tree growth… (10.1017/eds.2022.8)
0.00 13
38 Exploring decomposition of temporal patterns to facilitate l… (10.1017/eds.2022.9)
0.00 4
39 AtmoDist: Self-supervised representation learning for atmosp… (10.1017/eds.2023.1)
0.00 5
40 Exploring the nonstationarity of coastal sea level probabili… (10.1017/eds.2023.10)
0.00 3
41 A novel workflow for streamflow prediction in the presence o… (10.1017/eds.2023.11)
0.00 6
42 Statistical constraints on climate model parameters using a… (10.1017/eds.2023.12)
0.00 4
43 A locally time-invariant metric for climate model ensemble p… (10.1017/eds.2023.13)
0.00 2
44 Understanding cirrus clouds using explainable machine learni… (10.1017/eds.2023.14)
0.00 6
45 Neural style transfer between observed and simulated cloud i… (10.1017/eds.2023.15)
0.00 0
46 Short-term forecasting of typhoon rainfall with a deep-learn… (10.1017/eds.2023.16)
0.00 5
47 Clustering of causal graphs to explore drivers of river disc… (10.1017/eds.2023.17)
0.00 0
48 A precipitation downscaling method using a super-resolution… (10.1017/eds.2023.18)
0.00 11
49 Ensemble-based 4DVarNet uncertainty quantification for the r… (10.1017/eds.2023.19)
0.00 1
50 Skillful statistical prediction of subseasonal temperature b… (10.1017/eds.2023.2)
0.00 5