The Caspian Sea–Hindu Kush Index (CasHKI): A regulatory factor for dust activity over southwest Asia

https://doi.org/10.1016/j.gloplacha.2015年12月01日1 Get rights and content

Highlights

  • The CasHKI as a key parameter of SW Asia climate
  • Changes in CasHKI intensity affect the wind field over SW Asia.
  • High CasHKI values govern intense north winds and dust emissions over SW Asia.
  • Increased dust outflow over north Arabian Sea under high CasHKI intensity.
  • Limited effect of CasHKI variations on the summer monsoon rainfall

Abstract

This work investigates the modulation in dust activity over southwest (SW) Asia attributed to changes in the mean sea level pressure (MSLP) between the Caspian Sea (CS) and Hindu Kush (HK) during the summer months (June–July–August–September, JJAS) of the period 2000–2014. The MSLP anomalies obtained via NCEP/NCAR re-analysis are evaluated via a new climatology index, the Caspian SeaHindu Kush Index (CasHKI), which is defined as CasHKI = MSLPanom.CS − MSLPanom.HK, over specific domains taken over the CS and HK. The changes in CasHKI intensity are examined against dust activity and rainfall distributions over south Asia. The satellite remote sensing (Meteosat, OMI, MODIS) analyses show that high CasHKI values corresponding to enhanced pressure gradient between the CS and the HK, are associated with intensification of northerly winds, increased dust emissions and transportation over SW Asia and north Arabian Sea. In contrast, variations in CasHKI intensity do not seem to have a significant effect on the Indian summer monsoon. Only a slight decrease of precipitation over the southern Indian peninsula and the neighboring oceanic areas and an increase of precipitation along the Ganges Basin and Himalayan range are found to be related to high CasHKI values. Model (MIROC-SPRINTARS) simulations of dust concentration and dust AOD (Aerosol Optical Depth) over SW Asia are consistent with the satellite observations, highlighting for the first time the modulation of the SW Asian dust activity by CasHKI.

Introduction

Dust life cycle (emission, transport and deposition) is strongly interlinked with atmospheric circulation and climate dynamics (Washington, R., et al., 2006, Pey, J., et al., 2013, Salvador, P., et al., 2014, Kaskaoutis, D.G., et al., 2015a). In this respect, variability in Sahelian rainfall during summer and the North Atlantic Oscillation (NAO) during winter seem to be related with dust outflow from west Sahara to subtropical Atlantic (Prospero, J.M. and Lamb, P.J., 2003, Chiapello, I., et al., 2005, Ginoux, P., et al., 2012). Especially for the atmospheric and climatic conditions over SW Asia, Mediterranean Sea and Europe, the North Sea–Caspian Pattern (NCP) was found to play an important role, on modulating either the wind patterns or the recorded temperature and precipitation (Kutiel, H. and Benaroch, Y., 2002, Brunetti, M. and Kutiel, H., 2011, Ghanghermeh, A., et al., 2015). Rodríguez et al. (2015) found that variability in Saharan dust outflow to subtropical Atlantic and the monsoon rainfall over Sahel are linked to the intensity and variations of the North African dipole (NAFDI) composed of the 700-hPa geopotential height anomalies between Morocco and Mali. Therefore, synoptic and dynamic meteorology control dust emissions and life cycle, while intense dust plumes can modify weather by large attenuation of solar radiation (Badarinath, K.V.S., et al., 2010, Antón, M., et al., 2012, Valenzuela, A., et al., 2015), suppression of precipitation, evaporation of clouds and decreasing cyclonic activity (Rosenfeld, D., et al., 2001, Dunion, J. and Velden, C., 2004). Although these issues are fully addressed over Sahara via the synergy of ground-based and satellite remote sensing in the framework of several in-situ measurements and experimental campaigns (e.g. Barkan, J., et al., 2005, Washington, R. and Todd, M.C., 2005, Engelstaedter, S., et al., 2006, Todd, M.C., et al., 2008, Schepanski, K., et al., 2009, Alonso-Perez, S., et al., 2011, Calastrini, F., et al., 2012, Israelevich, P., et al., 2012, Marsham, J.H., et al., 2013), some few recent studies have focused on this field over southwest (SW) Asia and Arabian Sea (Alizadeh Choobari, O., et al., 2013, Prijith, S.S., et al., 2013, Kaskaoutis, D.G., et al., 2014a, Kaskaoutis, D.G., et al., 2015a).
Arid areas (deserts) in SW Asia contain active dust sources resulting in frequent and massive sand/dust storms, especially during the summer (June, July, August, September — JJAS) season (Middleton, N.J., 1986, Ekhtesasi, M.R. and Gohari, Z., 2013, Rezazadeh, M., et al., 2013, Rashki, A., et al., 2013, Shahraiyni, H.T., et al., 2013, Cao, H., et al., 2015, Moridnejad, A., et al., 2015). Dust mobilization over Middle East, Arabia and SW Asia is controlled by contrasting meteorological regimes. For example, the passage of frontal systems and the east-Mediterranean trough pressure gradient are associated with dust activity over Middle East and Arabia (Hamidi, M., et al., 2013, Awad, A. and Mashat, A.-W., 2013, Awad, A. and Mashat, A.-W., 2015), while the Indian thermal low and the Levar wind are responsible for dust emissions over SW Asia (Alizadeh Choobari, O., et al., 2014, Kaskaoutis, D.G., et al., 2015a). However, assessing the atmospheric circulation patterns, which are associated with modulation and long-term trends in dust activity over Middle East and SW Asia has not been evaluated so far except for some case studies (Maghrabi, A., et al., 2011, Najafi, M.S., et al., 2014, Jish Prakash, P., et al., 2014). Changes in the wind regime between contrasting monsoon years associated with variations in the El-Nino Southern Oscillation (ENSO) seem to affect the dust outflow over the Arabian Sea (Abish and Mohanakumar, 2013). Larger dust-aerosol loading over the Arabian Sea is mostly related to normal rather than weak monsoon years (Rahul et al., 2008), while recent works (Vinoj, V., et al., 2014, Solmon, F., et al., 2015, Das, S., et al., 2015) using satellite observations and model simulations found a positive feedback between Arabian dust outflow and rainfall over India.
The present work is an attempt to highlight the key role of meteorological dynamics on modulating dust activity over SW Asia and the North Arabian Sea (NAS). A recent work (Kaskaoutis et al., 2015a) revealed that the dust storms over Sistan basin in eastern Iran were associated with positive anomalies in mean sea level pressure (MSLP) and Geopotential Heights at 700 hPa (Z700) over CS and negative anomalies over the HK mountain range. A similar synoptic meteorology pattern (i.e. MSLP high over CS and MSLP low over HK) dominated during the long-range transport of a dust storm along the eastern Iran borders during 1–3 July 2014 (Kaskaoutis et al., 2015b). In that study, Kaskaoutis et al. (2015b) associated the meteorological dipole (i.e. MSLP anomalies over CS and HK) with modification in wind speed over eastern Iran and dust outflow over NAS, revealing a strong linkage between them. The anomalies in MSLP between CS and HK are now quantified into a new meteorological index, the so-called Caspian SeaHindu Kush Index (CasHKI). Variations in CasHKI intensity are examined against satellite observations (Meteosat, OMI, MODIS, TRMM) and model (MIROC-SPRINTARS) simulations of dust emissions, outflows and rainfall distribution over south Asia, in order to examine the impact of CasHKI variations on atmospheric dynamics and modulation of dust activity. Section 2 describes the datasets used in the current analysis and the CasHKI definition, while Section 3 contains the main results of the relation between CasHKI and atmospheric dynamics over SW Asia. Section 4 summarizes the results and itemizes open issues for further research.

Section snippets

NCEP/NCAR reanalysis

Daily gridded mean sea level pressure (MSLP) values at 12:00 UTC, over central and south Asia (5° N to 50° N and 30° E to 95° E) with a spatial resolution of 2.5° ×ばつ 2.5° were obtained from the National Center for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) re-analysis project (Kalnay et al., 1996) during the summer season (June to September, JJAS) from 2000 to 2014. The CasHKI is defined as the difference between the spatial averaged MSLP daily anomaly, from the

CasHKI and MSLP variability

Fig. 1 shows the composite means of the MSLP anomaly for the low and high CasHKI modes in JJAS for the period 2000–2014. A previous study (Kaskaoutis et al., 2015a) revealed that the combination between the Indian-Pakistan thermal low and the high-pressure system over the CS induces the north Levar wind over eastern Iran, while modifications in the pressure patterns reinforce changes in Levar onset, intensity and duration. The pressure gradient between CS and HK (red rectangles) certainly

Conclusions

Contrasting anomalies in MSLP between the Caspian Sea (CS) and Hindu Kush (HK) were quantified by a new climatic factor, the Caspian Sea–Hindu Kush Index (CasHKI), which was found to modulate the dust activity over SW Asia and continental dust outflow over the northern Arabian Sea. Daily MSLP anomaly datasets during the summer months (JJAS) of the period 2000–2014 were obtained via the NCEP/NCAR re-analysis and CasHKI was calculated as CasHKI = MSLPanom.CS − MSLPanom.HK, considering specific

Acknowledgments

The NCEP/NCAR re-analysis team and Eumetsat services are gratefully acknowledged for providing the meteorological data series and delivering the raw Meteosat imagery free of charge. Analyses and visualizations (OMI-AI, MODIS-AOD, TRMM-rainfall) were produced with the Giovanni online data system, developed and maintained by the NASA GES DISC. MIROC-SPRINTARS simulations were performed using the National Institute for Environmental Studies (NIES) supercomputer system (NEC SX-8R/128M16). The

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