Long-term Trend of Planetary Boundary Layer Height in Climate Models and Observations over East Asia

2020 ◽  
Author(s):  
Man Yue ◽  
Minghuai Wang
Keyword(s):  
Boundary Layer ◽  
Heat Flux ◽  
East Asia ◽  
Planetary Boundary Layer ◽  
Climate Models ◽  
Sensible Heat Flux ◽  
Sensible Heat ◽  
Term Trend ◽  
Long Term Trend

<p>Abstract: Planetary boundary layer (PBL) plays an important role in climate and air quality simulations. Large uncertainties remain in understanding the long-term trend of PBL height (PBLH). In this study, radiosonde data and ERA-Interim reanalysis data are applied to reveal the critical climate factors and mechanisms dominating the long-term trend of PBLH over East Asia. Our results show that, observed long-term shift in PBLH trend is found to be consistent with changes in sensible heat flux (SHFLX), net downward surface shortwave flux (SWFLX) and low cloud cover (LCC). Increases in soil moisture and LCC in recent years can modulate the energy partition through the SHFLX and modifying the surface radiation budget, and further lead to the long-term shift trend of PBLH. Long-term trend of PBLH over East Asia is further examined in climate models (including NCAR CESM2) and data from the Coupled Model Inter-comparison Project Phase 6 (CMIP6) experiments. The global climate models are not able to reproduce the long-term trend of PBLH over East Asia. CESM2 is shown to not catch the long-term variability of sensible heat flux and surface shortwave flux. Further analysis is performed to examine how the trend of mean PBLH and extreme low PBLH may be different.</p>

Long-term Trend Comparison of Planetary Boundary Layer Height in Observations and CMIP6 models over China

2021 ◽  
pp. 1-64
Author(s):  
Man Yue ◽  
Minghuai Wang ◽  
Jianping Guo ◽  
Haipeng Zhang ◽  
Xinyi Dong ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Heat Flux ◽  
Planetary Boundary Layer ◽  
Climate Models ◽  
Radiative Effect ◽  
Term Trend ◽  
Cloud Radiative Effect ◽  
Long Term Trend ◽  
Long Term Variations

AbstractThe planetary boundary layer (PBL) plays an essential role in climate and air quality simulations. Nevertheless, large uncertainties remain in understanding the drivers for long-term trend of PBL height (PBLH) and its simulation. Here we combinate the radiosonde data and reanalysis datasets to analyze PBLH long-term trends over China, and to further explore the performance of CMIP6 climate models in simulating these trends. Results show that the observed long-term “positive to negative” trend shift of PBLH is related to the variation in the surface upward sensible heat flux (SHFLX), and the SHFLX is further controlled by the synergistic effect of low cloud cover (LCC) and soil moisture (SM) changes. Variabilities in LCC and SM directly influence the energy balance via surface net downward shortwave flux (SWF) and the latent heat flux (LHFLX), respectively. The CMIP6 climate models, however, cannot reproduce the observed PBLH long-term trend shift over China. The CMIP6 results illustrate an overwhelming continuous downward PBLH trend during the 1979–2014 period, which is largely caused by the poor capability in simulating long-term variations of cloud radiative effect. Our results reveal that the long-term cloud radiative effect simulation is critical for CMIP6 models in reproducing the long-term trend of PBLH. This study highlights the importance of processes associated with LCC and SM in modulating PBLH long-term variations and calls attentions to improve these processes in climate models in order to improve the PBLH long-term trend simulations.

scholarly journals Observation of sensible and latent heat flux profiles with lidar

2020 ◽  
Vol 13 (6) ◽  
pp. 3221-3233 ◽  
Author(s):  
Andreas Behrendt ◽  
Volker Wulfmeyer ◽  
Christoph Senff ◽  
Shravan Kumar Muppa ◽  
Florian Späth ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Heat Flux ◽  
Latent Heat ◽  
Latent Heat Flux ◽  
Sensible Heat Flux ◽  
Ground Level ◽  
Sensible Heat ◽  
Flux Divergence ◽  
Convective Boundary ◽  
The Mean

Abstract. We present the first measurement of the sensible heat flux (H) profile in the convective boundary layer (CBL) derived from the covariance of collocated vertical-pointing temperature rotational Raman lidar and Doppler wind lidar measurements. The uncertainties of the H measurements due to instrumental noise and limited sampling are also derived and discussed. Simultaneous measurements of the latent heat flux profile (L) and other turbulent variables were obtained with the combination of water-vapor differential absorption lidar (WVDIAL) and Doppler lidar. The case study uses a measurement example from the HOPE (HD(CP)2 Observational Prototype Experiment) campaign, which took place in western Germany in 2013 and presents a cloud-free well-developed quasi-stationary CBL. The mean boundary layer height zi was at 1230 m above ground level. The results show – as expected – positive values of H in the middle of the CBL. A maximum of (182±32) W m−2, with the second number for the noise uncertainty, is found at 0.5 zi. At about 0.7 zi, H changes sign to negative values above. The entrainment flux was (-62±27) W m−2. The mean sensible heat flux divergence in the observed part of the CBL above 0.3 zi was −0.28 W m−3, which corresponds to a warming of 0.83 K h−1. The L profile shows a slight positive mean flux divergence of 0.12 W m−3 and an entrainment flux of (214±36) W m−2. The combination of H and L profiles in combination with variance and other turbulent parameters is very valuable for the evaluation of large-eddy simulation (LES) results and the further improvement and validation of turbulence parameterization schemes.

Characteristics of Long-term Surface Heat Source and Its Climate Influence Factors in Central Tibetan Plateau

2021 ◽  
Author(s):  
Zeyong Hu ◽  
Xiaoqiang Yan
Keyword(s):  
Heat Flux ◽  
Heat Source ◽  
Latent Heat ◽  
Latent Heat Flux ◽  
Sensible Heat Flux ◽  
Surface Heat ◽  
Sensible Heat ◽  
Net Radiation ◽  
Maximum Value

<p>Based on multi-level AWS data during 2001 to 2015 and eddy covariance data during 2011 to 2014 at Nagqu Station of Plateau Climate and Environment, the turbulent fluxes were calculated by a surface energy balance combination (CM) and eddy covariance ( EC) method. A long-term heat fluxes and surface heat source were obtained with comparison and correction of EC and CM fluxes. The surface energy closure ratio is close to 1 in spring, summer and autumn. But it reaches to 1.34 in winter due to low net radiation observation value on snow surface. The sensible heat flux shows a ascend trend while latent heat flux shows a descend trend during 2002 to 2015. The surface heat source shows a descend trend. The analysis of the surface heat source indicates that it has a significant relationship with net radiation flux, surface temperature, soil moisture and wind speed. Particularly, the surface heat source has a significant response to net radiation flux throughout the year. There are obvious influences of surface temperature and soil moisture on the surface heat source in spring, autumn and winter. And the influence of wind speeds on surface heat source is strong only in spring. The annual variation of sensible heat flux and latent heat flux are obvious. Sensible heat flux reaches the maximum value of the year in April and the minimum value in July. however, latent heat flux shows the maximum value in July and the minimum value in January. </p>

scholarly journals Persistent Atmospheric and Oceanic Anomalies in the North Atlantic from Summer 2009 to Summer 2010

2011 ◽  
Vol 24 (22) ◽  
pp. 5812-5830 ◽  
Author(s):  
Zeng-Zhen Hu ◽  
Arun Kumar ◽  
Bohua Huang ◽  
Yan Xue ◽  
Wanqiu Wang ◽  
...  
Keyword(s):  
Heat Flux ◽  
Atlantic Ocean ◽  
North Atlantic ◽  
Negative Phase ◽  
Atlantic Basin ◽  
Term Trend ◽  
The North ◽  
The North Atlantic ◽  
Long Term Trend

Abstract In this work, the authors analyze the air–sea interaction processes associated with the persistent atmospheric and oceanic anomalies in the North Atlantic Ocean during summer 2009–summer 2010 with a record-breaking positive sea surface temperature anomaly (SSTA) in the hurricane Main Development Region (MDR) in the spring and summer of 2010. Contributions to the anomalies from the El Niño–Southern Oscillation (ENSO), the North Atlantic Oscillation (NAO), and a long-term trend are identified. The warming in the tropical North Atlantic during summer 2009–summer 2010 represented a typical response to ENSO, preconditioned and amplified by the influence of a strong and persistent negative phase of the NAO. The long-term trends enhanced the warming in the high and low latitudes and weakened the cooling in the midlatitudes. The persistent negative phase of the NAO was associated with active thermodynamic air–sea interaction in the North Atlantic basin. Surface wind anomalies associated with the NAO altered the ocean surface heat flux and changed the SSTA, which was likely further enhanced by the positive wind speed–evaporation–SST feedback. The total heat flux was dominated by the latent and sensible heat fluxes, while the shortwave radiation contributed to the tropical SSTA to a lesser degree. Sensitivity experiments with an atmospheric general circulation model forced by observed SST in the Atlantic Ocean alone suggested that the Atlantic SSTA, which was partly forced by the NAO, had some positive contribution to the persistence of the negative phase of the NAO. Therefore, the persistent NAO condition is partly an outcome of the global climate anomalies and the ocean–atmosphere feedback within the Atlantic basin. The combination of the ENSO, NAO, and long-term trend resulted in the record-breaking positive SSTA in the MDR in the boreal spring and summer of 2010. On the basis of the statistical relationship, the SSTA pattern in the North Atlantic was reasonably well predicted by using the preceding ENSO and NAO as predictors.

“Trump’s First Year in Asia: Accelerating a Long-term Trend”

2018 ◽  
Vol 25 (2) ◽  
pp. 198-220 ◽  
Author(s):  
David C. Kang
Keyword(s):  
East Asia ◽  
The United States ◽  
First Year ◽  
Foreseeable Future ◽  
Real Possibility ◽  
Term Trend ◽  
Trade War ◽  
The Impact ◽  
Long Term Trend

What has been the impact of Donald J. Trump’s presidency on the place of the United States in East Asia? Trump already has shown a proclivity for upending the mainstream American consensus about grand strategy to East Asia, with the real possibility of a trade war with China or a shooting war with North Korea on the horizon. However, this article will place President Trump’s first year in office into a larger context of long-term decline of U.S. leadership and influence in East Asia, arguing that this trend has been underway for quite some time, and that Trump has not altered fundamentally this trajectory. Some of Trump’s actions may accelerate a decline in U.S. leadership, but by no means was Trump the first nor will he be the last U.S. president to deal with a swiftly changing East Asia. The region has been changing rapidly for decades, and there are no indications that this will stop anytime soon. However, continuing and gradual U.S. withdrawal from leadership does not mean less American-East Asia interaction. East Asia will remain the most important trading and investment region for the U.S. for the foreseeable future.

scholarly journals Long‐term trend and variability of soil moisture over East Asia

2015 ◽  
Vol 120 (17) ◽  
pp. 8658-8670 ◽  
Author(s):  
Shanjun Cheng ◽  
Xiaodan Guan ◽  
Jianping Huang ◽  
Fei Ji ◽  
Ruixia Guo
Keyword(s):  
Soil Moisture ◽  
East Asia ◽  
Term Trend ◽  
Long Term Trend

A long-term Climatology of Planetary Boundary Layer Height over the Tibetan Plateau revealed by ERA5

2020 ◽  
Author(s):  
Nils Slättberg ◽  
Deliang Chen
Keyword(s):  
Heat Flux ◽  
Monsoon Season ◽  
Sensible Heat Flux ◽  
Dry Season ◽  
The Tibetan Plateau ◽  
Climate Variables ◽  
Sensible Heat ◽  
Boundary Layer Height ◽  
Surface Sensible Heat Flux

<p>The Planetary Boundary Layer Height (PBLH) is important for the exchange of energy, water, and momentum between the surface and the free atmosphere, making it a significant factor in studies of surface climate and atmospheric circulation. Over the Tibetan Plateau (TP) - a vast elevated heat source exerting significant influence on the Asian monsoon systems - the climate is changing rapidly. Among the many climate variables expected to change as global temperatures rise is the PBLH which, in addition to temperature profile, mechanical turbulence production, vertical velocity, and horizontal advection, is highly dependent on the surface sensible heat  fluxes. Our understanding of PBLH over the TP is very limited, although scattered estimates has indicated that it sometimes reach unusual heights – up to the vicinity of the tropopause. Long-term assessment of PBLH covering the whole TP is hampered by the fact that observations are scarce in time and space. This study takes advantage of a recently available high-resolution reanalysis (ERA5) for 1979-2018 to create a multi-decadal climatology of PBLH over the TP, and assess the seasonality, interannual variation and long-term trend of PBLH in relation to other climate variables such as tropopause height and surface sensible heat flux as well as large-scale atmospheric circulation. </p><p>The results show that the most prominent feature of the PBLH trend is a large region of decline in the central TP during the monsoon season. Notably, this is a region where the temperature increase is smaller than in the rest of the region, and the precipitation shows a statistically significant increasing trend. Increased cloudiness may therefore have decreased the surface heating and thus the sensible heat flux and PBLH. Assessing the spatially averaged trends for the first and second halves of the period separately reveals that the monsoon season PBLH does in fact increase during the first half of the period. In the dry season in contrast, the spatially averaged PBLH decreases by almost 30 meter per decade during the first half of the period and increases slightly in the second. Although none of the spatially averaged PBLH trends are statistically significant at the 95% level, it can be noted that the shift from decreasing to increasing PBLH for the dry season is in accordance with a recent study of spring sensible heat flux over the TP. The aforementioned study found that although the sensible heat flux has been declining because of wind speed decreases, it has recently started to recover in response to an increased difference between the ground surface temperature and the air temperature. Given that the PBLH is highly dependent on the surface sensible heat flux, this decline and recovery may very well have produced the PBLH trends for the dry season. In the monsoon season, with cloudy conditions and less solar radiation reaching the ground, other factors are likely of greater importance for the PBLH.</p>

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