How many papers support this gap analysis?

3 papers from our local library contribute to this synthesis, with an average publication year of 2026.

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earth_science3 papersavg year 2026weak evidence

Prior work is not explicitly stated

Research gap analysis derived from 3 earth_science papers in our local library.

The gap

The gap in prior work is not explicitly stated, but it can be inferred as the need to project the timing of extreme temperature events in China using global climate models. The paper aims to fill this gap by evaluating the performance of different GCMs in simulating historical ETE timing and projecting future trends.

Evidence profile

Sourced from the stated research gap and limitations section and future-work section of the source papers, classified as general, drawn from work published between 2024 and 2026, spanning 2 journals. Those papers have been cited 20 times in total.

Research trend

Established — well-defined area with open sub-problems.

Supporting evidence — 4 representative gaps

Projections of the timing of extreme temperature events in the future, China (2026) · Climate Dynamics · doi
The gap in prior work is not explicitly stated, but it can be inferred as the need to project the timing of extreme temperature events in China using global climate models. The paper aims to fill this gap by evaluating the performance of different GCMs in simulating historical ETE timing and projecting future trends.
generalstated research gap
Keywords: gap prior work explicitly stated inferred need project
Projection of dengue fever transmissibility under climate change in South and Southeast Asian countries (2024) · PLoS neglected tropical diseases · cited 20× · doi
only temperature and rainfall were used as indicators of climate change, - only population growth was considered in projecting future DF transmission potential, - potential variations in reporting bias among locations were not addressed, - the selection of study locations was primarily determined by data availability, - the GCMs selection may have potential uncertainties for predicting future climate
generallimitations section
Keywords: only temperature rainfall were used indicators climate change
Increasing extreme precipitation and enhanced large-scale climatic drivers in the Beijing-Tianjin-Hebei Region, China (2026) · Climate Dynamics · doi
Further research is needed to investigate the impact of other factors on EPEs in the BTH. Further research is needed to analyze the economic damages and human casualties caused by EPEs in the BTH. Further research is needed to project the changes of EPEs in other regions. Further research is needed to develop more accurate GCMs for simulating precipitation at regional scales.
generalfuture-work sectionevidence 5/5
Keywords: further research needed investigate impact other factors epes
Increasing extreme precipitation and enhanced large-scale climatic drivers in the Beijing-Tianjin-Hebei Region, China (2026) · Climate Dynamics · doi
Substantial systematic biases in GCMs persist when projecting future climate change at regional scales. The study only considered 15 CMIP6 GCMs. The study only projected the changes of EPEs across the BTH from 2015 to 2100 under four scenarios. The study did not consider other factors that may influence EPEs in the BTH. The study did not provide a detailed analysis of the economic damages and human casualties caused by EPEs.
generallimitations sectionevidence 5/5
Keywords: substantial systematic biases gcms persist projecting future climate

Questions about this gap

The gap in prior work is not explicitly stated, but it can be inferred as the need to project the timing of extreme temperature events in China using global climate models. The paper aims to fill… This is supported by 4 representative gap statements extracted from 3 papers, rated weak evidence.

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