Tier 2 Dewpoint Depression Change
Synthesis
Related diagnostics
Dewpoint Depression Change
| Variables | avg_2t, avg_2d |
|---|---|
| Models | ifs-fesom, ifs-nemo |
| Units | K |
| Baseline | 1990-2014 |
| Future | 2040-2049 |
| Method | ΔDPD = (T_fut − Td_fut) − (T_hist − Td_hist). |
Summary high
The figure illustrates the projected change in dewpoint depression (DPD) between 1990–2014 and 2040–2049 under SSP3-7.0, revealing a dominant pattern of continental drying (increasing DPD) contrasted with stability or slight moistening over oceans and specific monsoon regions.
Key Findings
- Widespread increases in DPD (>1.5 K) are observed over the Amazon Basin, Southern Africa, the Mediterranean, and Western North America, indicating a reduction in relative humidity.
- Prominent decreases in DPD (wetting) occur over the Sahel, the Indian subcontinent, and parts of East Africa, suggesting intensified monsoon moisture transport.
- Oceanic regions predominantly show slight decreases in DPD (0 to -0.5 K), implying that near-surface air over oceans maintains or slightly increases relative humidity.
Spatial Patterns
A stark land-sea contrast exists where land masses generally exhibit positive anomalies (browning) and oceans exhibit weak negative anomalies (teal). Notable exceptions on land include the 'wetting' bands across the Sahel and South Asia. The Amazon and Southern Africa show the most intense drying signals.
Model Agreement
There is exceptionally high agreement between IFS-FESOM and IFS-NEMO regarding spatial structure and magnitude. This suggests that the atmospheric component (IFS) dominates the surface hydroclimate response, with the choice of ocean model (unstructured FESOM vs. structured NEMO) having minimal impact on the broad terrestrial patterns of mid-century dewpoint depression change.
Physical Interpretation
The pervasive land drying is driven by the land-ocean warming contrast: land temperatures ($T$) rise faster than oceanic moisture sources allow the dewpoint ($T_d$) to increase, widening the depression ($T-T_d$) and lowering relative humidity. In contrast, the negative anomalies over India and the Sahel are consistent with thermodynamic intensification of monsoon circulation, where increased moisture convergence raises $T_d$ faster than $T$.
Caveats
- Both panels utilize the same atmospheric model (IFS), likely underrepresenting structural uncertainty in atmospheric physics compared to a multi-model ensemble.
- The 2040–2049 timeframe represents a transient state; patterns, particularly in the Amazon, could intensify further by 2100.