Extreme events
Indian downpours are driven more by uplift than extra humidity
Open access · cc by · source: Europe PMC
For monsoon extremes over India, stronger upward motion supplies most of the extra moisture, not the Clausius–Clapeyron humidity increase alone.
How this study connects
Role on claims
Each row is a claim on a concept or method page where this paper supports, challenges, or qualifies the statement. Roles are hand-checked — not a model guess.
For monsoon extremes over India, stronger upward motion supplies most of the extra moisture, not the Clausius–Clapeyron humidity increase alone.
Evidence for the claim as stated.
CMIP is also a catalogue of process fields, not only of warming. Across 26 Indian monsoon extremes, the dynamic (vertical-velocity) moisture-budget term contributed more than 90% on average; six CMIP6 models with omega/humidity agreed that dynamics lead thermodynamics. Twenty-seven CMIP6 models underestimate North American oceanic cyclone depth and overestimate it over land versus ERA5; 12 km CRCM6 has the smallest domain errors even when driven by different CMIP6 models.
Evidence for the claim as stated.
Moisture-budget decompositions of extremes split dynamics from thermodynamics on reanalysis omega and humidity fields. Across 26 Indian events, the dynamic term contributed more than 90% on average; JRA-55/ERA-Interim and six CMIP6 models agreed that dynamics lead thermodynamics for those extremes.
Evidence for the claim as stated.
Study at a glance
- Design
- Computational / modelling — Moisture-budget decomposition of Indian monsoon extremes in reanalyses and CMIP6
- N
- N=26 · 26 IMD extremes (2005–2018) plus Kerala 2018 and Uttarakhand 2013 case studies
- Population
- Precipitation extremes over India during the monsoon
- Outcome
- Large-scale dynamics (upward motion) contribute more than Clausius–Clapeyron humidity increases to Indian precipitation extremes
Structured fields used in claim comparison tables when every cited study has a complete layer.
Inspect source passages
Indian downpours are driven more by uplift than extra humidity
These passages occur verbatim in the stored paper text. They support the points listed below; they do not verify every statement in the explanation.
Kerala monsoon rainfall in 2018 was 40% higher than normal years.
The IMD reported that from early June to August of 2018, the amount of rainfall over Kerala was 40% higher than during normal years (Sudheer et al., ).
The authors identified 26 extreme precipitation events in India from 2005 to 2018.
Here, we have identified 26 extreme precipitation events in India from this period (Table S1) based on the annual reports of the India Meteorological Department ( https://metnet.imd.gov.in/phps/publications_imdarep.php ) and other relevant articles (Tomar ; Sherly et al.
Key findings
Dynamics dominate vertical moisture advection in both case studies and contribute more than 90% (mean) across 26 events. Kerala 2018 rain was 40% above normal; Uttarakhand 13–18 June 2013 saw >340 mm (~375% of JJAS normal). CMIP6 also shows Dyn leading Thermo for Indian extremes.
Methodology
The authors decomposed precipitation into dynamic (vertical velocity) and thermodynamic (humidity) moisture-budget terms for Kerala 2018, Uttarakhand 2013, 26 IMD extremes (2005–2018), and 95th-percentile JJAS events in JRA-55/ERA-Interim and six CMIP6 models.
Limitations
Only six CMIP6 models with available omega/humidity fields. Some events fall outside the core monsoon zone or JJAS. Decomposition cannot capture convective-scale triggering. Human impacts cited are not the scientific result.
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