Surface relative humidity (RH) is a key element for weather and climate monitoring and research. Radiation budget and precipitation over the TP region. Observational constraint for simulations of the diurnal cycle of surface Our results will be helpful to improve the simulation and retrieval of totalĬloud cover and cloud vertical distribution and further provide an Over the TP, the seasonal and regional averaged peak cloud cover can reachĠ.09 at 22:00 UTC, and their diurnal cycle correlates with that of theĢ50 hPa relative humidity, 2 m temperature, and 250 hPa vertical velocity. Potential impact on the radiation budget, are the fewest among cirrus clouds With that of 250 hPa relative humidity and 250 hPa vertical velocity.Īlthough subvisible clouds (optical depth <0.03), which have a Of 0.18 at 11:00 UTC, and its diurnal cycle is strong positive correlation
The seasonalĪnd regional averaged cloud cover of opaque cirrus reaches a daily maximum
Unlike in the tropics, where thin cirrus (0.03< opticalĭepth <0.3) dominate, opaque cirrus clouds (0.3< opticalĭepth <3) are the dominant cirrus clouds over the TP. We furtherįind that cirrus clouds, which are widespread over the TP, show significantĭiurnal variations with averaged peak cloud cover over 0.35 at 15:00 UTC. With CATS, ERA5 cannot capture the complete diurnal variations in verticalĭistribution of clouds and MERRA-2 has a poorer performance. The vertical distribution of clouds and corresponding height of peak cloudĬover at middle and high atmosphere levels, although it underestimates theĬloud cover of low-level clouds, especially over the southern TP. Of the diurnal variations in total cloud cover obtained by the reanalysisĪnd CMIP6 models are obviously smaller. Compared with satellite observations, the amplitudes This could to someĮxtent be attributed to subvisible clouds missed by passive The results show that total cloud cover peaks at 06:00–09:00 UTC, especially over the eastern TP, but the spatial and temporalĭistributions of clouds from different datasets are inconsistent. Our results are consistent with previous studies but provide This study focuses on theĭiurnal variations in total cloud cover, cloud vertical distribution, andĬirrus clouds and their relationship to meteorological factors over the TPīased on active and passive satellite observations, reanalysis data, andĬMIP6 outputs. However, thus far these topics have received insufficientĪttention, especially on the Tibetan Plateau (TP).
The high spatiotemporal resolution temperature profiles from ERA-5 along with the high vertical resolution temperature profiles from COSMIC can be combined to accurately study convective overshooting in the Tibetan Plateau.ĭiurnal variations in cloud cover and cloud vertical distributionĪre of great importance to Earth–atmosphere system radiative budgets andĬlimate change. Statistical results calculated from the five datasets are generally consistent however, each dataset has its own strengths and weaknesses.
The tropopause of the convective overshooting is substantially lower than the mean tropopause. The convective overshooting warms the low middle tropopause and cools the tropopause nearby significantly, which can also makes air get wetter. It was found that convective overshooting mainly occurs in the central and eastern part of the Tibetan Plateau, and its frequency varies from 0.01 × 10−4 to 0.91 × 10−4.
#COSMIC LEAGUE JUMMP HEIGHT ARCHIVE#
In this paper, we examine convective overshooting and its effects on the thermal structure of the troposphere and lower stratosphere in the Tibetan Plateau in summer by matching the Tropical Rainfall Measuring Mission (TRMM) with Integrated Global Radiosonde Archive (IGRA), Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC), European Centre for Medium-Range Weather Forecasts 5th Reanalysis (ERA-5), the Japanese Meteorological Association 55-year reanalysis (JRA-55) and the National Aeronautics and Space Administration Modern-Era Retrospective analysis for Research and Applications, Versions2 (MERRA-2).
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