Science AI Journal
Environmental Science · Research topic

Open research questions in Climate variability and models

410 unresolved questions extracted from the limitations and future-work sections of 1,553 Climate variability and models papers in our library. Each links back to the study that raised it.

What the literature leaves open

  • The robustness of the decadal inference is limited by the relatively short 45-year record - The study only considered three climate modes (ENSO, IOD, PDO) and did not account for other potential drivers of precipitation variability

    Spatiotemporal Variability of Precipitation and Teleconnections in Mekong Delta (Vietnam) · 2026 · DOI

  • Further research is needed to investigate the impacts of other climate modes on VMD precipitation variability - The development of more advanced statistical models that can capture non-linear relationships between climate modes and precipitation variability - Investigation of the potential applications of the multi-index teleconnection framework for climate-adaptive water resource management

    Spatiotemporal Variability of Precipitation and Teleconnections in Mekong Delta (Vietnam) · 2026 · DOI

  • The manuscript will undergo further editing and there may be errors present which affect the content, - The comparison of ToEs between the two groups is based on the CMIP6 models, - The study focuses on the SSP585 scenario

    Early emergence of climate change in tropical rainforest temperature variability due to ENSO · 2026 · DOI

  • Further research is needed to understand the mechanisms behind the early emergence of ENSO TAS teleconnections, - Investigating the impact of different vegetation representations on ENSO responses, - Examining the effects of ENSO on tropical rainforests and the Sahel transition zone in more detail

    Early emergence of climate change in tropical rainforest temperature variability due to ENSO · 2026 · DOI

  • Limited studies have examined different ENSO types, particularly for the Brazilian subtropical climate. There is a need to investigate rainfall variability in the region associated with different ENSO types. The study aims to fill this gap by analyzing composite analyses of precipitation, wind, and SST anomalies.

    Rainfall Variability in the Brazilian Subtropical Climate Associated with El Niño–Southern Oscillation Diversity · 2026 · DOI

  • sub-daily data remains extremely rare - many high-frequency variables are only requested for ocean surface or near-surface levels - one issue that was not resolved in this data request is how to describe the ocean surface as a coordinate designation

    CMIP7 data request: ocean and sea ice priorities and opportunities · 2026 · DOI

  • testing the skill and robustness of climate models and improving confidence in projections of future climate change - studying paleoclimates to provide a critical window into climate conditions that differ significantly from the present

    CMIP7 data request: ocean and sea ice priorities and opportunities · 2026 · DOI

  • The study identifies the challenge of internal stochastic variability in GCM output, which is not synchronised with observations. It also notes the challenge of distinguishing between climate projections and weather or seasonal forecasts. The research highlights the need to address the complementarity between CMIP6 projections and AI-based approaches for near-term operational decisions.

    Projected Aridity Dynamics Across the Western Balkans Using a Multi-Model CMIP6 Ensemble and Short-Term AI Benchmarking · 2026 · DOI

  • Formal ANOVA-based variance partitioning, - Change-point detection, - Attribution of projected aridity change using SHAP

    Projected Aridity Dynamics Across the Western Balkans Using a Multi-Model CMIP6 Ensemble and Short-Term AI Benchmarking · 2026 · DOI

  • The study faces challenges in constructing and homogenizing the 117-year daily temperature record due to scarce or incomplete observational records. The paper identifies challenges in disentangling trends, multidecadal variability, and changes in the extreme regime. The study also encounters challenges in understanding the regional climate variability due to the lack of long-term temperature records.

    Centennial Temperature Variability in Semiarid La Rioja, Northwestern Argentina: Insights from Historical and Modern Daily Records · 2026 · DOI

  • The lack of long-term temperature records in La Rioja, Argentina, makes it challenging to understand the regional climate variability. The study identifies a gap in understanding the centennial trends, multidecadal variability, and extreme temperature events in the region.

    Centennial Temperature Variability in Semiarid La Rioja, Northwestern Argentina: Insights from Historical and Modern Daily Records · 2026 · DOI

  • The study uses simulated data from CMIP6 models, - The analysis is limited to the North Atlantic and European sector (NAE), - The study focuses on the teleconnection between ENSO and the NAO

    Enhanced ENSO-driven potential predictability over the Euro-Atlantic under greenhouse warming · 2026 · DOI

  • The reliance on long observational records for machine-learning-based bias-correction methods. The reduced performance of these methods for highly skewed and non-continuous variables such as precipitation. The need to preserve climate change signals while correcting systematic biases in climate model simulations.

    Non-stationary Multivariate Bias-corrected CMIP6 Climate Projections of Daily Precipitation and Temperature over India · 2026 · DOI

  • The study relies on observational records - The performance of machine-learning methods can be limited for highly skewed and non-continuous variables - The study may not capture complex nonlinear relationships and spatial patterns in climate data - The CDF-t technique may not be suitable for all types of climate data

    Non-stationary Multivariate Bias-corrected CMIP6 Climate Projections of Daily Precipitation and Temperature over India · 2026 · DOI

  • Representing temperatures in complex terrain, such as mountains and coastlines, is a challenge for climate models. Observational uncertainty complicates bias assessment. Extreme precipitation remains particularly difficult to capture.

    Europe’s extreme temperatures and rainfall in finer detail: strengths and limits of climate model downscaling · 2026 · DOI

  • Observational uncertainty complicates bias assessment, - Limited coverage of measurement sites in E-OBS, - Representation issues in some regions, - Complex terrain affects model accuracy, - No single dataset performs best across all regions

    Europe’s extreme temperatures and rainfall in finer detail: strengths and limits of climate model downscaling · 2026 · DOI

  • Further evaluation of the AROME model for other regions, - Investigation of the model's performance for different types of extreme precipitation events

    Climatology and trends of extreme precipitation in France: evaluation of an explicit-convection regional climate model · 2026 · DOI

  • The gap is the uncertainty of the impact of solar radiation modification on temperature extremes at regional scales. There is a need to understand how temperature extremes may evolve under future climate pathways. The study aims to fill this gap by analyzing the impact of solar radiation modification on temperature extremes in Northern Africa.

    Pathway-dependent responses of temperature extremes under solar radiation modification over Northern Africa · 2026 · DOI

  • the study assumes stationarity of model biases and local relationships, - the analysis is limited to the Qassim region in Saudi Arabia, - the study uses a specific set of GCM/ESM outputs

    Bayesian quantile mapping and schaake shuffle for precipitation downscaling in arid environments · 2026 · DOI

  • investigating the application of BQM+SS to other regions, - exploring the use of different GCM/ESM outputs, - developing methods to address non-stationarity in downscaling relationships

    Bayesian quantile mapping and schaake shuffle for precipitation downscaling in arid environments · 2026 · DOI

  • The time series ends in an extreme year (2023-24), which may drive findings from the full time series. There was no clear signal of strong reductions in precipitation across Amazonia or major differences between central and extreme trends. The lack of a wider decline of rainfall in southern Amazonia contrasts with research based on rainfall gauges.

    Rapid increase of climate extremes reveals new areas of concern in Amazonia · 2026 · DOI

  • Investigate the impact of climate extremes on biodiversity loss further. Study the long-term effects of increased temperatures on forest health and productivity.

    Rapid increase of climate extremes reveals new areas of concern in Amazonia · 2026 · DOI

  • The paper identifies the challenge of understanding the temporal and spatial distribution of change in climate extremes. The study notes the challenge of addressing the lack of an Amazon-wide assessment of spatial-temporal changes in climate extremes. The paper references the challenge of preventing deforestation and disturbances that amplify risks associated with climate extremes.

    Rapid increase of climate extremes reveals new areas of concern in Amazonia · 2026 · DOI

  • Further research is needed to understand the temporal and spatial distribution of change in climate extremes in Amazonia. Research should focus on the central-northern region of Amazonia which is experiencing the greatest rates of increase in extreme temperature and VPD. Studies should investigate the impacts of climate extremes on socio-ecological systems in Amazonia.

    Rapid increase of climate extremes reveals new areas of concern in Amazonia · 2026 · DOI

  • The datasets analyzed here vary in spatial resolution and are thus difficult to compare directly, - The years analyzed are limited to the period since 1970, - The study only analyzes surface temperature datasets

    Space-time signatures of surface warming accelerations since 1970 · 2026 · DOI

Most-cited papers in Climate variability and models

Most recent work

Find a gap in your own Climate variability and models sub-topic

This page shows what the Climate variability and models literature already flags as unresolved. To narrow it to your specific question, run the guided finder — it searches the gap library on demand and checks candidates against 250M+ OpenAlex works.

Open the Research Gap Finder →

Related topics in Environmental Science

Environmental Education and Sustainability
814 open questions
Microplastics and Plastic Pollution
446 open questions
Urban Green Space and Health
407 open questions
Research studies in Vietnam
406 open questions
Remote Sensing in Agriculture
384 open questions
Sustainability and Climate Change Governance
376 open questions
Land Use and Ecosystem Services
371 open questions
Air Quality and Health Impacts
370 open questions
410 open questions have been extracted from the limitations and future-work passages of 1,553 Climate variability and models papers in our library. Each one below links back to the study that raised it, so you can read the original claim in context.

Tools for your next paper

Gaps & Literature SearchFind open questions in any field — 120,000+ open gaps mined from our own library.Pre-CheckIs your paper ready? A Tier 1–5 acceptance probability in seconds.Journal FinderA ranked shortlist of target journals from a 17,500-venue index.Duplicate Publication CheckerCheck prior-publication & salami-slicing risk across 8 sources.Citation GeneratorFreeA DOI or title → APA, MLA, Vancouver, Chicago, BibTeX, RIS. No signup.Graphical Abstract MakerFreeTurn your findings into a colorblind-safe graphical abstract.

Compare the category — Honest roundups of the AI research tools, ours listed alongside the alternatives.

Command palette

Jump anywhere, run any action.