Abstract
This study investigates dynamical and thermodynamical coupling between the North Atlantic subtropical high (NASH), marine boundary layer (MBL) clouds, and the local sea surface temperatures (SSTs) over the North Atlantic in boreal summer for 1984–2009 using NCEP/DOE Reanalysis 2 dataset, various cloud data, and the Hadley Centre sea surface temperature. On interannual timescales, the summer mean subtropical MBL clouds to the southeast of the NASH is actively coupled with the NASH and local SSTs: a stronger (weaker) NASH is often accompanied with an increase (a decrease) of MBL clouds and abnormally cooler (warmer) SSTs along the southeast flank of the NASH. To understand the physical processes between the NASH and the MBL clouds, the authors conduct a data diagnostic analysis and implement a numerical modeling investigation using an idealized anomalous atmospheric general circulation model (AGCM). Results suggest that significant northeasterly anomalies in the southeast flank of the NASH associated with an intensified NASH tend to induce stronger cold advection and coastal upwelling in the MBL cloud region, reducing the boundary surface temperature. Meanwhile, warm advection associated with the easterly anomalies from the African continent leads to warming over the MBL cloud region at 700 hPa. Such warming and the surface cooling increase the atmospheric static stability, favoring growth of the MBL clouds. The anomalous diabatic cooling associated with the growth of the MBL clouds dynamically excites an anomalous anticyclone to its north and contributes to strengthening of the NASH circulation in its southeast flank. The dynamical and thermodynamical couplings and their associated variations in the NASH, MBL clouds, and SSTs constitute an important aspect of the summer climate variability over the North Atlantic.
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1 Introduction
The low-level subtropical anticyclone over the North Atlantic is a fundamental element of the atmospheric circulation (Fig. 1). The anticyclone, also known as the North Atlantic subtropical high (NASH), connects the tropical trade wind regime with the midlatitude westerly belt in the low troposphere (Davis et al. 1997; Seager et al. 2003). During summer, the subtropical high system plays an important role in altering moisture transport (Li et al. 2013a), and thus modulating regional precipitation and hydrological extremes in the Midwest (Cook et al. 2008) and southeastern United States (Stahle and Cleaveland 1992; Li et al. 2011, 2012a, 2013a). Providing critical large-scale steering flow for the North Atlantic hurricanes and tropical storms, the NASH circulation and its intensity also largely determine the movement of tropical cyclones (Elsner and Tsonis 1993; Colbert and Soden 2012).
Marine boundary layer (MBL) clouds play a vital role in the Earth’s climate system (Klein and Hartmann 1993; Miller 1997; Norris et al. 1998; Bony and Dufresne 2005; Clement et al. 2009; Wood 2012; Huang et al. 2015; Zhai et al. 2015). Previous studies have suggested that MBL clouds and associated radiative energy are central to many questions regarding climate change, and have been identified as a primary source of uncertainty in determining the sensitivities of climate models (Bony and Dufresne 2005; Randall et al. 2007; Zhai et al. 2015). The uncertainty is, to the first order, due to the lack of knowledge of the physical processes that contribute to the cloud-climate feedback (Yue et al. 2011). MBL clouds occur most frequently in the large-scale subsidence regions over eastern subtropical oceans, co-located with the subtropical highs (Norris 1998). The MBL cloud macro and micro properties and their diurnal/seasonal cycles have been studied using 19 months in situ measurements and remote sensing data (Dong et al. 2014a, b, 2015). The interactions between the clouds, large-scale atmospheric circulation, and the underlying oceans are important to understand the Earth’s climate and its changes.
Previous observational and modeling studies have suggested a positive feedback between the MBL clouds, sea surface temperatures (SSTs), and subtropical highs over the eastern Pacific (Norris and Leovy 1994; Norris 1998; Clement et al. 2009; Nigam and Chan 2009; He 2009). In the subtropical North Pacific, MBL clouds are located off the California coast, inducing a strong longwave radiative cooling in the subtropical North Pacific (Norris 1998; Wu et al. 2009). The northerly flow along the eastern flank of the North Pacific Subtropical High (NPSH) generates cold air advection from high latitudes and coastal upwelling along the west coast of the continent. The latter lowers local SSTs and favors enhanced MBL cloudiness by modifying the structure of the planetary boundary layer (Klein and Hartmann 1993; Norris and Klein 2000; Clement et al. 2009). The strong longwave radiative cooling and enhanced subsidence induced by MBL clouds off the California coast in return tend to intensify the NPSH to its observed strength (Seager et al. 2003; Li et al. 2012b). In the subtropical North Pacific, northerly wind plays an important role in maintaining the feedback loop between the NPSH, observed MBL cloud amounts, and local SSTs (Norris et al. 1998; Seager et al. 2003; Clement et al. 2009; Wu et al. 2009).
Compared to the subtropical North Pacific, much less is known about the mechanisms for the coupling between the MBL clouds over the North Atlantic and the NASH at interannual timescales. The NASH is relatively weaker than the NPSH, based on both the circulation (925 hPa stream function) and mass (sea level pressure, SLP) data. The shape of the NASH is also different from that of the NPSH (see details in Sect. 3.1). In the subtropical North Atlantic, the MBL clouds are mainly located over the eastern subtropical Atlantic (Fig. 2) where the maximum cloud coverage is closer to the equator compared to that over the North Pacific (Zhang et al. 2010). The amount of the MBL clouds in the subtropical North Atlantic is about 14% less than that in the North Pacific (Fig. 2a). These differences suggest the importance of the tropical easterly trade winds in the MBL clouds-subtropical high coupling process over the North Atlantic. The mechanism for a comprehensive dynamical and thermodynamical coupling between the MBL clouds, the NASH, and local SSTs has not been fully understood. Insufficient knowledge of the physical processes is suggested as the main reason for the biases in representing the NASH intensity, total amount of MBL clouds, and local energy budget in the state-of-the-art Global Climate Models (GCMs; Bony and Dufresne 2005; Randall et al. 2007; Li et al. 2012b).
This paper examines the dynamical and thermodynamical interactions between the summertime MBL clouds, NASH circulation, and local SSTs in the subtropical North Atlantic using various cloud data, SSTs, and atmospheric reanalysis data. In the following section, data and methods are described. Section 3 discusses the relationship between the MBL clouds and both the tropical easterly trade winds and northerly winds associated with the NASH respectively. The factors/processes that are keys to the dynamical and thermodynamical coupling between the MBL clouds, the NASH, and SSTs over tropical North Atlantic are also investigated in this section. Conclusions and discussions are given in Sect. 4.
2 Data and methods
2.1 Data
The monthly mean reanalysis data used in this study are extracted from the National Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Reanalysis 2 (NCEP-2) from 1984 to 2009 on a 2.5° × 2.5° horizontal resolution (Kanamitsu et al. 2002). The global SSTs are derived from the Hadley Centre Sea Ice and Sea Surface Temperature data set (HadISST) (Rayner et al. 2003). 3D monthly ocean state variables from the Simple Ocean Data Assimilation ocean/sea ice reanalysis (SODA) version 3.3.1 (Carton and Giese 2008; Carton et al. 2016) are used to reveal ocean currents variation associated with the NASH (http://www.atmos.umd.edu/~ocean/index.htm).
Considering the possible problems of surface-based cloud observations and satellite-based cloud observations (Norris 1998; Clement et al. 2009), we examine independent cloud data sets with longer records. Monthly mean of low cloud amount is provided by the International Satellite Cloud Climatology Project (ISCCP) Stage D2 data from 1984 to 2009 (Rossow and Schiffer 1991). The ISCCP collects satellite data from the NOAA POES satellites as well as various meteorological geostationary satellites around the world in an effort to characterize global cloudiness. The low-level cloud fraction from Clouds and the Earth’s Radiant Energy System (CERES) (Wielicki et al. 1996) and the total cloud amount from the International Comprehensive Ocean–Atmosphere Data Set (ICOADS) (Freeman et al. 2016) are analyzed to compare with the ISCCP D2 data on the spatial distribution of the MBL clouds and to adjust the interannual variation of the ISCCP D2 data. CERES ISCCP-D2like product provides CERES-MODIS and GEO cloud properties stratified by ISCCP cloud types and in the similar D2 format. We examined liquid and ice stratocumulus and stratus cloud fractions from CERES Merged Terra/Aqua/GEO ISCCP-D2like_Ed3A data set from 2000 to 2016 on a 1° × 1° horizontal resolution in this study. Cloud amounts in the ICOADS dataset are derived from NOAA/OAR/ESRL PSD, which are not categorized based on cloud types. However, over the east coast where the total clouds are dominated by MBL clouds (Schubert et al. 1979; Norris and Leovy 1994; Bellomo et al. 2016), the total cloud amount from ICOADS could be considered as the reference data (see Sect. 3.1.2 for detailed discussion). We changed the unit of ICOADS cloudiness data from okta to percent by dividing the data by 8 and then multiplying by 100. The ISCCP low cloud amount data as well as the ICOADS total cloud data are de-trended to avoid spurious long-term change caused by satellite artifacts (Clement et al. 2009). The summer mean (June–July–August) records during 1984‒2009 are analyzed in this study.
2.2 Methods
Previous studies have confirmed that the formation and variation of summertime subtropical highs are mainly determined by the spatial distribution and variations of diabatic heating (Rodwell and Hoskins 2001; Wu and Liu 2003; Liu et al. 2004; Miyasaka and Nakamura 2005; Wei et al. 2014, 2015, 2017). We use the apparent heat source Q 1 to analyze the diabatic heating anomaly associated with the MBL clouds over the North Atlantic. Q 1 is calculated as a residual in the thermodynamic equation as following Yanai et al. (1973) and Luo and Yanai (1984):
where T is temperature; θ is potential temperature; V is horizontal wind; and ω is vertical p velocity. к = R/C p ; R and C p are the gas constant and the specific heat at constant pressures of dry air; and p 0 = 1000 hPa.
2.3 Model
To further investigate the feedback effect of the subtropical North Atlantic MBL clouds on the NASH, an anomalous atmospheric general circulation model (AGCM) is employed in this study. The model is a dry version of the Princeton AGCM (Held and Suarez 1994) linearized by specifying the 3-dimensional summer mean (JJA) basic state, so that model response to specific anomalous heating such as radiative cooling associated with the MBL clouds under the realistic basic mean state could be examined (Jiang and Li 2005; Li 2006). This anomalous AGCM is run with a T42 horizontal resolution, and uses a sigma (σ = p/p s ) vertical coordinate with five evenly distributed levels from the top level at σ = 0 to the bottom level at σ = 1 with an interval of 0.2. The subtropical circulation response to the heating will be examined, and the Newtonian cooling rate of 1 K day−1 is applied for the region beyond 50°N and 50°S. The model has been successfully applied to study the effect of latent heat release in the Indian and East Asian monsoon regions on the South Asian high (Wei et al. 2014, 2015) and to examine the atmospheric response to the heating over the Kuroshio Extension region (Wang et al. 2012).
3 Results
3.1 Climatological feature and relationship between the NASH and MBL clouds
3.1.1 The NASH
Figure 1 shows the climatology of summertime low-level circulation (stream function) and mass (SLP) fields in the Northern Hemisphere. Clearly, the NPSH and the NASH are two dominant low-level anticyclonic, high-pressure systems over the North Pacific and the North Atlantic, respectively. These systems are much stronger in summer than in winter, indicating the importance of zonally asymmetric diabatic heatings (Rodwell and Hoskins 2001; Miyasaka and Nakamura 2005; Wu and Liu 2003). Differences exist between the two summertime subtropical anticyclones. First, the intensity of NASH is relatively weaker than NPSH in summer. Specifically, the circulation field presented by 925 hPa stream function shows that the NASH center is about 15.6 × 106 m2 s−1, 3.5 × 106 m2 s−1 weaker than that of the NPSH (Fig. 1a). Using mass field represented by SLP, the NASH central pressure is 1024 hPa, slightly lower (0.5 hPa) than that of the NPSH (Fig. 1b). Secondly, the shapes of the NASH and the NPSH are different (Fig. 1b). The oval-shaped NPSH bestrides over the North Pacific from east to west with its ridge lineFootnote 1 in an east–west orientation at about 35°N (Fig. 2). However, the NASH spans the North Atlantic with a ridge line in a northeast–southwest orientation. The climatological western ridge of the NASH (over 90°‒60°W) is at about 29°N, while the eastern ridge (over 30°–10°W) is at about 37.5°N, due presumably to the different distribution of land–sea thermal contrast (Rodwell and Hoskins 2001; Miyasaka and Nakamura 2005) associated with different topographies of the North American and African continents. Compared to the northwest–southeast orientated coastline along the western North America which favors northerly wind along the east flank of the NPSH (Norris et al. 1998; Seager et al. 2003), the coastline along the western African continent is northeast–southwest orientated. Northeasterly/easterly winds, instead of the northerly winds, dominate the east flank of the NASH (Fig. 2) and likely play a more important role in maintaining and modulating the subtropical anticyclone-MBL cloud feedback loop in boreal summer.
3.1.2 MBL clouds
The summertime climatology of low-level clouds over Northern Hemisphere subtropical oceans is shown in Fig. 2a. The ISCCP data indicate that the MBL clouds are mainly located over the eastern oceans. Specifically, over the North Pacific, MBL clouds are concentrated over the area of 15°‒35°N, 145°‒120°W. The maximum cloud coverage is located at about 25°N with cloud amount over 60%. Observational studies reveal that MBL clouds are coupled well with the northerly winds along the east flank of the NPSH (Norris 2000; Clement et al. 2009). However, over the North Atlantic, high-amounts MBL clouds occur over the regions 10°‒25°N, 45°‒25°W and 32.5°‒50°N, 30°‒10°W, respectively; and a zone of relatively low MBL cloud amount could be found over the eastern North Atlantic between 25°‒30°N. The southern MBL clouds with cloud amount of about 38%, are located more equatorward with a center at about 17.5°N in comparison to the clouds over the North Pacific. The northern MBL clouds located at the higher latitudes are likely tied to the North Atlantic storm track (Zhang et al. 2004), and they do not stand out as clearly as the southern cloud center based on the CloudSat 2B-CLDCLASS data (Sassen and Wang 2008) and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) GCM Oriented Cloud Calipso Product (CALIPSO-GOCCP) (Chepfer et al. 2010; also see below for detail). The spatial pattern of the low-level cloud from CERES data is similar to that of ISCCP data, i.e., high-amounts MBL clouds occur over eastern North Pacific (15°‒35°N, 140°‒120°W) and the eastern North Atlantic region (10°‒25°N, 45°‒25°W) although the cloud amount over the eastern North Atlantic is about 18% lower than that in the ISCCP data (Fig. 2b). Previous studies found that the cloud amounts from both CRERS TRMM and Terra were in excellent agreement with the zonal means from long-term surface observations and were generally 0.07‒0.08 less than those from ISCCP D2 dataset (Rossow and Schiffer 1999; Minnis et al. 2004), similar to our results. The differences in the amount and distribution of the MBL clouds over the subtropical North Atlantic compared to those over the North Pacific further suggest that the coupling processes between the NASH, MBL clouds, and local SSTs could be different and need to be studied.
Analysis from the ICOADS data demonstrates similar results as the ISCCP data, although only total cloud amount is provided in the ICOADS. Over eastern subtropical oceans, clouds are mainly MBL clouds (Schubert et al. 1979; Norris and Leovy 1994; Bellomo et al. 2016), and thus the total cloud data from the ICOADS largely indicate the amounts and patterns of the MBL clouds over the eastern Northern Hemisphere subtropical oceans (Fig. 2b, also see discussion below). The total cloud amount concentrated over the eastern subtropical North Pacific is 77%, comparable with the MBL clouds using the ISCCP data. The cloud over the North Atlantic is also concentrated at lower latitudes with 61% cloud amount, similar to the ISCCP cloud data. Moreover, a low cloud amount zone could be found over the Canarian region at about 25°–30°N. These similarities of cloud pattern and cloud amount revealed by the ISCCP low cloud data (Fig. 2a), CERES low cloud amount (Fig. 2b) and the ICOADS total cloud data (Fig. 2c) demonstrate that total clouds are dominated by low-level clouds over the eastern North Atlantic and the eastern North Pacific, similar to the conclusions drawn by Bellomo et al. (2016). The low-level cloud distributions based on the CloudSat 2B-CLDCLASS data (Sassen and Wang 2008) and the CALIPSO-GOCCP data (Chepfer et al. 2010) confirm that MBL clouds are formed at more equatorward locations over the North Atlantic compared to those over the North Pacific, i.e., maximum low-level cloud amount is observed at about 15°–25°N, 40°‒20°W over the eastern North Atlantic (not shown because the CALIPSO-GOCCP and CloudSat 2B-CLDCLASS data are 3 dimensional, not exactly the same as the 2-D data of the ISCCP and ICOADS). We thus focus on the southern MBL cloud over the North Atlantic in this study.
We also analyze the interannual variations of the low-level cloud amount in the ISCCP and the total cloud amount in ICOADS. Results show that the interannual variations of cloud amount in these two datasets are highly correlated after detrending, exceeding the 0.01 significance level (not shown). This feature suggests that the detrended ISCCP D2 data could reasonably depict the interannual variation of the MBL clouds over the eastern North Atlantic and the eastern North Pacific.
In summary, both surface-based (i.e. ICOADS) and satellite-based (i.e. ISCCP and CERES) cloud observations show that the maximum cloud coverage over the subtropical North Atlantic is located at the southeast flank of the NASH (10°‒25°N, 45°‒25°W); the MBL cloud is about 14% (ISCCP) less in cloud amount and 8° closer to the equator in the subtropical North Atlantic compared to that in the North Pacific.
3.1.3 Relationship between the NASH and MBL clouds
To understand the possible relationship between the NASH and MBL clouds over the subtropical North Atlantic, we first define a NASH intensity index as the standardized detrended time series of stream function at 925 hPa over the region 25°‒40°N, 50°‒30°W (Fig. 3). Figure 3 shows the interannual variation of the NASH intensity index. The composite stream function based on the NASH index greater than 1 and less than −1 demonstrates significant differences in the NASH intensity, proving that the index could well depict the intensity of the NASH (Fig. 4).
Figure 4 shows the regressed MBL cloud anomalies and horizontal wind anomalies at 925 hPa against the NASH intensity index. It is obvious that variation of the NASH intensity is closely related with the variability of MBL clouds in the southeastern flank of the NASH. When the NASH is abnormally stronger, more MBL clouds are formed accompanied with significant northeasterly anomalies in the southeastern flank of the NASH (Fig. 4a).
We conduct a linear regression analysis based on the MBL cloud index defined as the standardized detrended time series of low-level cloud amount over the southeastern North Atlantic (11.25°‒26.25°N, 46.25°‒26.25°W) (Fig. 3) to examine the boundary layer circulation anomalies associated with MBL cloud variability over the subtropical North Atlantic. Figure 4b shows the regressed horizontal wind anomalies at 925 hPa against the MBL cloud index. Obviously, increased MBL clouds are accompanied by significant northeasterly anomalies and an anomalous anticyclone to the north, implying a stronger NASH. The composite NASH intensity based on the MBL cloud index further verifies that when the MBL clouds are abnormally higher (lower)Footnote 2 than normal, the NASH tends to be strengthened (weakened).
Moreover, the interannual variations of the NASH index and MBL cloud index are highly correlated to each other (Fig. 3). The correlation coefficient between the two indexes is 0.59, exceeding the 0.01 significance level. This high correlation further indicates that the NASH intensity and the MBL cloud amount are highly coupled with each other. In the next subsection, we focus on the coupling processes between the NASH and MBL clouds over the North Atlantic and examine the underlying physical mechanisms.
3.2 Physical mechanisms
3.2.1 Impact of the NASH circulation on MBL clouds
Previous studies have established relationships between the lower tropospheric stability (LTS) and MBL clouds (Klein and Hartmann 1993; Wood and Bretherton 2006; Yue et al. 2011). The seasonal maximum low clouds usually correspond to the seasonal greatest lower tropospheric stability; and interannual variations of cloud amount are also related to LTS changes (Klein and Hartmann 1993; Wood and Bretherton 2006). When the boundary layer is warmer than the surface, the boundary layer becomes a thermal inversion layer. The inversion in lower troposphere caps the planetary boundary layer and traps moisture within the MBL, which is favorable for the growth of MBL clouds (Wood and Bretherton 2006). Following Klein and Hartmann (1993), the LTS is calculated as the difference in potential temperature θ between free troposphere (700 hPa) and the surface (1000 hPa):
Figure 5 shows the regressed LTS against the NASH intensity. It is notable that positive LTS anomalies appear in the subtropical North Atlantic east of 45°W, especially the southeastern flank of NASH along the east coast of the North Atlantic. When the NASH intensifies, the LTS also increases in its southeast flank, facilitating the growth of MBL clouds in the region.
Variations of temperature are the key factors in LTS variations. We thus analyze the temperature and horizontal wind anomalies at 700 and 1000 hPa, respectively, against the NASH intensity. At 700 hPa, warming anomalies are significant over the MBL cloud region, to the south of the anomalous anticyclone associated with intensified NASH (Fig. 6a). The anomalous easterly winds bring warm air from the African continent to the eastern North Atlantic and thus favor the warming over the MBL cloud region. At 1000 hPa, significant cooling anomalies appear along the southeast flank of the NASH in association with the strengthened anticyclonic circulation (Fig. 6b). It is the northeasterly winds along the southeastern NASH that lead to the cold advection from the high latitudes to the south, cooling the surface air temperature in the MBL cloud region. As a result, the boundary layer becomes more stable, favoring an increase in the low-level clouds.
The northeasterly anomalies associated with the strengthened NASH not only strengthen the cold advection along the southeast flank of the NASH, but also lead to the offshore ocean current along the western boundary of the African continent (Sverdrup 1947). Figure 7 shows the ocean current anomalies along the east boundary of the North Atlantic (35°‒15°W). It indicates that the zonal current anomalies are much stronger than the meridional current anomalies, and the westward currents (i.e., offshore currents) intensify to the north of 20°N when the NASH is stronger. These offshore currents induce upwelling and thus lower SSTs in the MBL cloud region (Fig. 8). These cooling SST anomalies further increase the strength of capping inversion and atmospheric static stability over the MBL cloud region, which favor the formation of more MBL clouds along the southeast flank of the NASH (Fig. 4).
3.2.2 Feedback of MBL clouds on NASH variability
MBL clouds have been identified as one of the important factors in the Earth’s climate system (Klein and Hartmann 1993). Increased (decreased) MBL clouds lead to less (more) incoming shortwave radiation and stronger (weaker) long-wave radiative cooling. Such heating changes inevitably affect the intensity of subtropical highs (Rodwell and Hoskins 2001; Wu and Liu 2003; Miyasaka and Nakamura 2005; Li et al. 2012b, 2013b). To understand the feedbacks of MBL clouds on NASH intensity and its variability, we carry out additional diagnostic analyses and some numerical experiments.
3.2.2.1 Diagnostic analysis
Composite analysis is applied to the vertical profile of apparent heat source Q 1 over the MBL cloud region (10°‒25°N, 45°‒25°W) based on the MBL cloud index. Figure 9 shows the vertical profile of heating anomalies due to more and less low-level clouds, respectively. When MBL clouds increase, atmospheric air temperatures tend to be lower than normal from the boundary layer to 200 hPa. Specifically, heating anomalies are negative in the troposphere above 925 hPa, presumably caused by increased outgoing long-wave radiation and decreased incoming shortwave radiation due to the increase in MBL clouds.
We apply a simplified complete vorticity equation to analyze the effect of MBL clouds on the NASH intensity. Previous studies have demonstrated that the simplified complete vorticity equation could be used to analyze the effect of diabatic heating on the subtropical high on both climatology (Liu et al. 1999, 2001) and interannual variation (Wei et al. 2014, 2015). The equation can be writtern as follows:
where ζ denotes vertical vorticity, f the Coriolis parameter, β the Rossby parameter, v meridional wind, θ z static stability, and Q diabatic heating. Over the subtropical North Atlantic, the meridional velocity (βv) is much greater than the vorticity advection term, and the vertical gradient of diabatic heating is negative in the MBL cloud region. According to Eq. (3), this negative gradient must be balanced by significant anomalous northerly wind along the east flank of the NASH (Fig. 5), and the strengthened northerly winds indicate strengthening of the NASH anticyclonic circulation especially at its eastern part.
3.2.2.2 Numerical experiments
An anomalous AGCM (Jiang and Li 2005; Li 2006) is utilized to conduct numerical experiments to further test the impact of MBL clouds on the NASH intensity. Two idealized numerical experiments are conducted. The negative heating run (NHR) simulates the more MBL cloud condition and the positive heating run (PHR) simulates the less cloud condition. Based on the observed diabatic heating profile at 17 pressure levels (Fig. 9), an idealized 5-σ level vertical profile of heating anomalies is estimated to prescribe in the experiments. In the two experiments, the central heating rates at levels σ = 0.1, 0.3, 0.5, 0.7, and 0.9 are 0.05/−0.05, −0.10/0.10, −0.30/0.30, −0.25/0.25, and −0.05/0.05 K day−1, respectively. The experiments are conducted by running the anomalous AGCM for 120 days under a fixed summer (JJA) basic state. The ensemble means of the last 90 days are used to analyze the responses of lower-level atmospheric circulations to the prescribed cooling anomalies associated with the MBL clouds.
Figure 10 illustrates the horizontal wind field at 850 hPa for the PHR and NHR and the difference of the wind anomalies at 850 hPa between NHR and PHR. Similar to observation (Fig. 4b), northeasterly wind anomalies are significant when low-level clouds are abnormally higher over the MBL cloud region. The anomalous cooling center due to the increased MBL clouds excites an anomalous anticyclone. The advection of the negative vorticity associated with cooling by the background easterly contributes to the overall strengthening of NASH (Fig. 10c). Comparing the stream function contours of 11 × 106 m2 s−1 between the NHR and PHR simulations (Fig. 10), we find a much larger domain of the anticyclonic circulation in the NHR simulation.
4 Conclusions and discussions
This paper has showed the dynamical and thermodynamical interactions between the summertime MBL clouds, NASH circulation, and local SSTs in the subtropical North Atlantic using various cloud data, SSTs, and atmospheric reanalysis data. In boreal summer, abundant MBL clouds are observed over the southeast part of the NASH with a center at about 15°N, 35°W. The interannual variations of the MBL clouds, the subtropical anticyclonic circulation of NASH, and local SSTs are closely correlated with each other. When the NASH strengthens, northeasterly wind anomalies significantly increase along its southeast flank. Such northeasterly anomalies lead to cold advection in the MBL cloud region, which cools the air temperature at the surface. On the other hand, the northeasterly anomalies may cause anomalous offshore currents along the southeast flank of NASH according to the Sverdrup balance. The offshore currents further lead to oceanic upwelling and lower the SSTs of the subtropical North Atlantic. Meanwhile, anomalous easterly winds lead to warm advection from the African continent to the eastern North Atlantic at 700 hPa, and result in warm anomalies over the MBL cloud region. The higher air temperature at 700 hPa and the lower temperature at the surface increase the static stability along the southeast flank of the NASH, which favors the growth of MBL clouds in the region.
The intensity of NASH could also be altered due to the variation of MBL clouds. Increased MBL clouds reduce incoming shortwave radiation and enhance long-wave radiative cooling. The changes in diabatic heating associated with MBL clouds tend to increase the northerly winds and enhance the anticyclonic circulation of the NASH. Numerical experiments further confirm the effects of increased (decreased) MBL clouds on the strengthening (weakening) of the NASH: an anomalous anticyclone is excited by the cooling anomaly induced by increased MBL clouds and advection of the negative vorticity associated with the cooling by the background easterly contributes to the strengthening of the NASH.
Climatologically, SST in the North Atlantic MBL cloud region is about 3 °C warmer than that in the North Pacific cloud region during boreal summer since the NASH is about 5° closer to the equator. Thus, less MBL clouds (weaker LTS) are typically observed over the North Atlantic. However, on interannual timescale, the coupling between the MBL clouds, underlying SST and subtropical high over the North Atlantic appears to be stronger as illustrated by larger variations of the LTS (0.28 K at the North Atlantic vs 0.17 K at the North Pacific), greater SSTA associated with the subtropical high intensity (−0.23 °C at the North Atlantic vs −0.16 °C at the North Pacific) and a higher correlation coefficient between the subtropical high-pressure and the clouds (0.59 at the North Atlantic vs 0.26 at the North Pacific). With increasing atmospheric concentrations of greenhouse gases, climate models consistently project a strengthening of the near-surface summertime subtropical high over the North Atlantic (Li et al. 2012b). This result, combined with findings discussed here, suggests that in the near future, more low-level clouds and increased cooling effect will likely occur along the NASH southeast flank. The coupling between a strengthened NASH and more MBL clouds over the subtropical North Atlantic could result in enhanced northeasterly winds, potentially altering steering flows thus tracks of North Atlantic tropical cyclones in the future.
Notes
The ridge-line of the subtropical highs is where winds with an easterly component reverse to winds with a westerly component, or mathematically it fulfills that u = 0 and \(\frac{{\partial u}}{{\partial y}}> 0,\) where u is the zonal wind component (Liu and Wu 2004).
MBL cloud index greater than 1 is defined as more cloud condition and less than −1 as less cloud condition.
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Acknowledgements
The authors are very grateful for the constructive comments from two anonymous reviewers, which helped greatly in improving this paper. This study is supported by the NIH Grant NIH-1R21AG044294-01A1. Wei Wei and Song Yang are also supported by the National Key Research Program of China (2014CB953900), the National Natural Science Foundation of China (Grants 41661144019 and 41605040), the “111-Plan” Project of China (Grant B17049), and the Jiangsu Collaborative Innovation Center for Climate Change, China. Yi Deng is supported by the National Science Foundation under Grants AGS-1147601 and AGS-1354402. The authors are also grateful of Prof. Tim Li at the University of Hawaii who provided the idealized AGCM.
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Wei, W., Li, W., Deng, Y. et al. Dynamical and thermodynamical coupling between the North Atlantic subtropical high and the marine boundary layer clouds in boreal summer. Clim Dyn 50, 2457–2469 (2018). https://doi.org/10.1007/s00382-017-3750-6
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DOI: https://doi.org/10.1007/s00382-017-3750-6