Data · dataset · 2024
Bias-corrected NESM3 global dataset for dynamical downscaling under 1.5 °C and 2 °C global warming
Listed in ScienceDB
Dynamical downscaling is an important approach to generating climate projections at a finer scale.
Description
Recently, a set of future simulations under four types of 1.5 and 2 °C global warming scenarios are available using the Nanjing University Information Science and Technology Earth System Model (NESM), which provide a new opportunity for accessing the climate impacts of 1.5 °C/2 °C global warming. However, the systematic bias of the NESM3 in the large-scale driving variables would degrade the dynamical downscaling simulation.
With the aid of a novel bias correction method of the global climate model, we corrected the NESM3 bias in terms of climate mean and inter-annual variance against the European Centre for Medium-Range Weather Forecasts Reanalysis 5 dataset and then produced a set of bias-corrected datasets for dynamical downscaling. The bias-corrected NESM3 spans the historical period from 1979 to 2014 and four future scenarios (i.e., 1.5 °C overshoot from 2070 to 2100, stabilized 1.5 °C/2 °C from 2070 to 2100, and transient 2 °C from 2031 to 2061) with a horizontal grid spacing of (1.25° × 1.25°) at six-hourly intervals.
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Our evaluation suggests that the bias-corrected NESM3 shows better performance in terms of the climatological mean, inter-annual variability, and climate extreme events compared with the original NESM3 during the historical period. This bias-corrected dataset will provide high-quality large-scale driving fields for dynamical downscaling under 1.5 °C and 2 °C global warming scenarios, which is expected to generate more reliable projections for regional climate and environment.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.07777 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Climate change science 70% · Climate model simulation 65% · Simulation 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.07777 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3702 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (70%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
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| concepts[method].local:method:climate-model | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[method].local:method:simulation | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |