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Contributions to global precipitation changes using kernels

Published byAsbjørg Enoksen Modified over 5 years ago

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Presentation on theme: "Contributions to global precipitation changes using kernels"— Presentation transcript:

1 Contributions to global precipitation changes using kernels

2

3 Fast precipitation change in CAM4

4 Stratotemperaturespheric
Surface temperature Tropospheric temperature Total rapid adjustment Water vapour Surface albedo Clouds

5 Stratospheric temperature
Surface temperature Tropospheric temperature Total rapid adjustment Water vapour Surface albedo Clouds

6 Stratotemperaturespheric
Surface temperature Tropospheric temperature Total rapid adjustment Water vapour Surface albedo Clouds

7 Inst Stratospheric temperature Surface temperature Tropospheric temperature Total rapid adjustment Water vapour Surface albedo Clouds

8 Inst Stratospheric temperature dQ - dSH Surface temperature Tropospheric temperature Sensible heat Total rapid adjustment Water vapour Surface albedo Clouds

9 Inst Stratospheric temperature dQ - dSH Surface temperature Tropospheric temperature Sensible heat Total rapid adjustment Residual Water vapour Surface albedo Clouds

10 Only one PDRMIP model, now several
Inst Surface temperature Tropospheric temperature Sensible heat dQ - dSH Precipitation Stratospheric temperature Total rapid adjustment Stratospheric temperature Water vapour Surface albedo Clouds Inst Surface temperature Tropospheric temperature Sensible heat dQ - dSH Precipitation Total rapid adjustment Water vapour Surface albedo Clouds Stratospheric temperature Inst Surface temperature Tropospheric temperature Sensible heat dQ - dSH Precipitation Total rapid adjustment Water vapour Surface albedo Clouds Stratospheric temperature Inst Surface temperature Tropospheric temperature Sensible heat dQ - dSH Precipitation Total rapid adjustment Water vapour Surface albedo Clouds Stratospheric temperature Inst Surface temperature Tropospheric temperature Sensible heat dQ - dSH Precipitation Total rapid adjustment Water vapour Surface albedo Clouds

11 Only one PDRMIP model, now several
Inst Surface temperature Tropospheric temperature Sensible heat dQ - dSH Precipitation Stratospheric temperature Total rapid adjustment Stratospheric temperature Water vapour Surface albedo Clouds Inst Surface temperature Tropospheric temperature Sensible heat dQ - dSH Precipitation Total rapid adjustment Water vapour Surface albedo Clouds Stratospheric temperature Inst Surface temperature Tropospheric temperature Sensible heat dQ - dSH Precipitation Total rapid adjustment Water vapour Surface albedo Clouds Stratospheric temperature Inst Surface temperature Tropospheric temperature Sensible heat dQ - dSH Precipitation Total rapid adjustment Water vapour Surface albedo Clouds Stratospheric temperature Inst Surface temperature Tropospheric temperature Sensible heat dQ - dSH Precipitation Total rapid adjustment Water vapour Surface albedo Clouds

12 Conclusion on fast precipitation
Rapid adjustment of CO2 reduces precipitation Rapid adjustment of BC (and solar experiment) increases precipitation and offset instantaneous atmospheric absorption.

13 Planck Lapse rate Water vapour Hydrological sensitivity Surface albedo Clouds Total kernel

14 All 5 drivers, hydrological sensitivity
Planck Lapse rate Water vapour Surface albedo Clouds Total kernel Hydrological sensitivity

15 Summary Conclusion on fast precipitation
Rapid adjustment of CO2 reduces precipitation Rapid adjustment of BC (and solar experiment) increases precipitation and offset instantaneous atmospheric absorption. Conclusion on slow precipitation Kernels seem to work reasonable Largest model range for lapse rate, water vapour and cloud changes

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