[64] Pal, S., Clark, N.E*., Anand, M*., Hamel, M*., 2024. Aerosol transport and associated boundary layer thermodynamics under contrasting synoptic conditions over a semiarid site Science of the Total Environment. Accepted. 

[63] Pal, S., Clark, N.E., Lee, T.R., Conder, M., and Buban, M., 2021. When and where horizontal advection is critical to alter the atmospheric boundary layer features over land: Need for a conceptual framework, Atmospheric Research, https://doi.org/10.1016/j.atmosres.2021.105825.

[62] Pal, S., Lee, T.R., & Clark, N., 2020. 2019 Mississippi and Missouri River Flooding and Its Impact on Atmospheric Boundary Layer Dynamics, Geophysical Research Letters, in press, doi: 10.1029/2019GL086933.

[61] Pal, S., Davis, K.J., Lauvaux, T., Browell, E.V., Gaudet, B.J., Stauffer, D.R., Obland, M.D., Choi, Y., DiGangi, J.P., Feng, S., Lin, B., Miles, N.L., Pauly, R., Richardson, S.R., and Zhang, F., 2020. Observations of Greenhouse Gas Changes across Summer Frontal Boundaries in the Eastern United States, Journal of Geophysical Research: Atmospheres, 125, e2019JD030526. https://doi.org/10.1029/2019JD030526

[60] Pal, S., and Lee, T.R., 2019: , Advected Airmass Reservoirs in the Downwind of Mountains and their Roles in Overrunning Boundary Layer Depths over the Plains, Geophysical Research Letters, 46. https://doi.org/10.1029/2019GL083988.

[59] Pal, S., and Lee, T.R., 2019: Contrasting air mass advection explains significant differences in boundary layer depth seasonal cycles under onshore versus offshore flows, Geophysical Research Letters, https://doi.org/10.1029/2018GL081699

[58] Pal, S., Lee, T.R., and De Wekker, S.F.J., 2017: A study of the combined impact of boundary layer height and near-surface meteorology on the CO diurnal cycle at a low mountaintop site using simultaneous lidar and in-situ observations, Atmospheric Environment, https://doi.org/10.1016/j.atmosenv.2017.05.041

[57] Pal, S., De Wekker, S.F.J., Emmitt, G.D., 2016: Spatial variability of the atmospheric boundary layer heights over a low mountain region: Cases from MATERHORN-2012 field experiment, Journal of Applied Meteorology and Climatology, DOI: http://dx.doi.org/10.1175/JAMC-D-15-0277.1.

[56] Pal, S., 2016: On the factors governing water vapor turbulence profiles in the convective boundary layer over land: Concept and data analyses methodology using ground-based lidar measurements, Science of the Total Environment, 555, 17–25, doi:10.1016/j.scitotenv.2016.02.147

[55] Pal, S., and Haeffelin, M., 2015: Forcing mechanisms governing diurnal, seasonal, and inter-annual variability in the boundary layer depths: Five years of continuous lidar observations over a suburban site near Paris, Journal of Geophysical Research-Atmospheres, DOI: 10.1002/2015JD023268

[54] Pal, S., Lopez, M., Schmidt, M., Ramonet, M., Gibert, F., Xueref-Remy, I., Ciais, P., 2014. Investigation of the atmospheric boundary layer depth variability and its impact on the 222Rn concentration at a rural site in France: Evaluation of a year-long measurement, Journal of Geophysical Research-Atmospheres. doi: 10.1002/2014JD022322.

[53] Pal, S., Lee, T.R., Phelps, S., De Wekker, S.F.J., 2014. Impact of atmospheric boundary layer depth variability and wind reversal on the diurnal variability of aerosol concentration at a valley site. Science of the Total Environment, 496, 424–434, doi: 10.1016/j.scitotenv.2014.07.067.

[52] Pal, S., 2014. Monitoring Depth of Shallow Atmospheric Boundary Layer to Complement LiDAR Measurements Affected by Partial Overlap, Remote Sensing,  6(9), 8468-8493

[51] Pal S, Haeffelin M, Batchvarova E, 2013. Exploring a geophysical process-based attribution technique for the determination of the atmospheric boundary layer depth using aerosol lidar and near-surface meteorological measurements, Journal of Geophysical Research-Atmospheres, 118, 1–19.

[50] Pal, S., Xueref-Remy, I., Ammoura, L., Chazette, P., Gibert, F., Royer, P., Dieudonné, E., Dupont, J.C., Haeffelin, M., Lac, C., Lopez, M., Morille, Y., Ravetta, F., 2012. Spatio-temporal variability of the atmospheric boundary layer depth over the Paris agglomeration: An assessment of the impact of the urban heat island intensity, Atmospheric Environment, 63: 261-275.

[49] Pal, S and Devara PCS, 2012: A wavelet-based spectral analysis of long-term time series of optical properties of aerosols obtained by lidar and radiometer measurements over an urban station in Western India, Journal of Atmospheric and Solar-Terrestrial Physics, 84–85, 75–87. 

[48] Pal, S , Behrendt A and Wulfmeyer V. (2010) Elastic-backscatter-lidar-based characterization of the convective boundary layer and investigation of related statistics Annales Geophysicae, 28: 825-847.

[47] Pal, S , Behrendt A, Bauer H, Radlach M, Riede A, Schiller M, Wagner G and Wulfmeyer V. (2008) 3 -dimensional observations of atmospheric variables during the field campaign COPS IOP: Earth and Environmental Sciences 1 012031, ISSN 1755-1307 (Print),ISSN 1755-1315 (Online).

[46] Pal, S. (2009):A mobile, scanning eye-safe lidar for the study of atmospheric aerosol particles and transport processes in the lower troposphere, Ph.D. Thesis Faculty of Natural Sciences, University of Hohenheim, Stuttgart, Germany.  http://opus.ub.uni-hohenheim.de/volltexte/2009/340/, Published by: Kommunikations-, Informations- und Medienzentrum (KIM). Veröffentlichungsvertrag mit der Universitätsbibliothek Hohenheim ohne Print-on-Demand

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[45] Danzig, T.B., Pal, S., Medley, Z., Dahliwal, H., Hamel, M., Sorensen, M., Das, D., Menon, K.V., Lee, T.R., and Conder, M., 2025. Impact of Advection on the Urban Heat of a Small-sized City: The Urban Heat Island Experiment Around Lubbock, Texas (U-HEAT), Urban Climate, Accepted/In press. 

[44] Huang, Y., Wang, C., Danzig, T., Lee, T. R., and Pal, S., 2025: Urban heat forecasting in small cities: Evaluation of a high-resolution operational numerical weather prediction model, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-3397, 2025. 

[43] Lee, T.R., Pal, S., Meyers, T.P., Krishnan, P., Kochendorfer, J., Saylor, R., and Heuer, M., 2025. On the vertical variability of turbulent heat fluxes within and above a deciduous forest, Agriculture and Forest Meteorology. 

[42]  Lee, T.R. Pal, S., Meyers, T., Krishnan, P., Saylor, R., Heuer, M. 2025. Vertical Structure of Turbulence in the Lower Atmospheric Boundary Layer above a Deciduous Forest in Complex Terrain. Agricultural and Forest Meteorology. Accepted

[41] Lee, T.R., Pal., S., Krishnan, P., P., Heuer, M., Hirth, B., Meyers, T.P., Kochendorfer, J., Saylor, R., Schroeder, J., 2025. The impact of the Bowen ratio on surface layer parameterizations for heat, moisture, and turbulent fluxes over drylands. Journal of Applied Meteorology and Climatology, Link here

[40] Medley, Z.*, and Pal, S., 2025. Exploration of Atmospheric Boundary Layer Thermodynamics across Fronts over Land using Airborne In-Situ Measurements, Atmospheric Research, Link here. 

[39]  Lee, T.R., Pal, S., Saylor, R.D., Kochendorfer, J., Meyers, T.P., Krishnan, P., Wilson, T., Pendergrass, W., White, R., and Heuera, M., 2024. On the Application of the Hockey-Stick Transition Hypothesis to Characterize Turbulence within and above a Deciduous Forest. Journal of Agricultural and Forest Meteorology, Link here.

[38] Das, D*., Pal, S., Bruning, E., and Hirth, B., 2024. Exploring spatial variability of precipitation over the semi-arid region of West Texas using ground based and satellite remote sensing measurements synergy. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, pp. 5662-5665, doi: 10.1109/IGARSS53475.2024.10641391

[37] Lee, T.R., Pal, S., Leeper, R.D., Wilson, T., Diamond, H., Meyers, T.P., and Turner, D.D., 2024. On the Importance of Regime-Specific Evaluations for Numerical Weather Prediction Models as Demonstrated using the High Resolution Rapid Refresh (HRRR) Model. Weather and Forecasting, Accepted/In print

[36] Lee, T.R., Pal., S., Krishnan, P., Heuer, M., Hirth, B., Meyers, T.P., Kochendorfer, J., Saylor, R., Schroeder, J., 2023. On the efficacy of Monin-Obukhov and bulk Richardson surface- layer parameterizations over drylands , Journal of Applied Meteorology and Climatology, in press, Link here. 

[35] Hamel, M*., Pal, S., Hirth, B., 2022. Multi-variable turbulence characteristics of the daytime atmospheric boundary layer over an arid region using measurements from a 200-m tall tower. AGU journal Earth and Space Science, in review, Pre-Print available on ESSOAr; https://doi.org/10.1002/essoar.10512363.1

[34] Anand, M*., and Pal, S., 2022. Exploring Atmospheric Boundary Layer Depth Variability in Frontal Environments over an Arid Region, Boundary Layer Meteorology; Accepted, in press

[33] Clark, N.E*., Pal, S., and Lee, T.R., 2022. Empirical evidence for frontal modifications of atmospheric boundary layer depth variability over land, Journal of Applied Meteorology and Climatology, Open Access Article Link here. 

[32] Walley, S*., Pal, S., Campbell, J.F., Dobler, J., Bell, E., Weir, B., Feng, S., Baker, D., Erxleben, W., Fan, T., Lauvaux, T., Lin, B., McGregor, D., Obland, M.D., O’Dell, C., and Davis, K.J., 2022. Airborne lidar measurements of XCO2 in synoptically active environment and associated comparisons with numerical simulations, Journal of Geophysical Research-Atmospheres, Accepted, in press.

[31] Lee, T.R., and Pal, S*., 2020. The Impact of Height-independent Errors in State Variables on the Determination of the Daytime Atmospheric Boundary Layer Depth using the Bulk Richardson Approach.  Journal of Atmospheric and Oceanic Technology, https://doi.org/10.1175/JTECH-D-20-0135.1

[30] Lee, T.R., and Pal, S*: On the potential of 25 years (1991-2015) of rawinsonde measurements for elucidating key climatological and spatiotemporal patterns of afternoon boundary layer depths over the contiguous US, Advances in Meteorology. https://doi.org/10.1155/2017/6841239

[29] Behrendt A, Pal, S, Aoshima F, Bender M, Blyth A, Corsmeier U, Cuesta J, Dick G, Di Girolamo P, Dorninger M, Flamant C, Huang Y, Gorgas T, Kalthoff N, Khodayar S and Wulfmeyer V. (2011) Observation of Convection Initiation Processes with a Suite of State-of-the-Art Research Instruments during COPS IOP8b, Quarterly Journal of Royal Meteorological Society 137: 81-100.

[28] Behrendt A, Pal, S, Wulfmeyer V, Valdebenito AM and Lammel G (2011) ) A novel approach for the characterisation of transport and optical properties of aerosol particles near sources Part I: Measurement of particle backscatter coefficient maps with a scanning UV lidar, Atmospheric Environment 45 2795-2802.

[27] Valdebenito AM, Pal, S, Lammel G, Behrendt A and Wulfmeyer V (2011) A novel approach for the characterization of transport and optical properties of aerosol particles emitted from an animal facility- Part II: High-resolution chemistry transport model and its assessment using lidar measurements Atmospheric Environment 45: 2981-2990.

[26] Wulfmeyer V, Pal, S, Turner DD and Wagner E., 2010: Can the water vapor Raman lidar resolve profiles of turbulent variables in the convective boundary layer? Boundary Layer Meteorology 136: 253-284.

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[25] Wei, Y., Shrestha, R., Pal, S., Gerken, T., McNelis, J., Singh, D., et al., 2021. The ACT-America Datasets: Description, Management and Delivery, Earth and Space Science. http://doi.org/10.1029/2020EA001634 .

[24] Wang, Q., Crowell, S., Pal., S., 2022. Atmospheric variations in column integrated CO2 on synoptic and seasonal time scale over the U.S., Journal of Geophysical Research-Atmospheres. In press, Link here

[23] Gaudet, B.J., Davis, K.J., Pal, S., Jacobson, A.R., Schuh, A., Lauvaux, T., Feng, S., and Browell, E.V., 2021. Regional-scale evaluation of global CO2 inversion models using aircraft data from the Atmospheric Carbon and Transport–America project, Journal of Geophysical Research-Atmospheres. In Press, https://doi.org/10.1029/2020JD033623

[22] Lee, T.R., De Wekker, S.F.J., and Pal, S., 2018: The impact of the afternoon planetary boundary-layer height on the diurnal cycle of CO and CO2 mixing ratios at a low-altitude mountaintop. Boundary-Layer Meteorology, DOI: 10.1007/s10546-018-0343-9

[21] Lee, T.R., De Wekker, S.F.J., Pal, S., Andrews, A., Kofler, J., 2015. Meteorological controls on the diurnal variability of carbon monoxide mixing ratio at a mountaintop monitoring site in the Appalachian Mountains, Tellus B 2015, 67, 25659, http://dx.doi.org/10.3402/tellusb.v67.25659.

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[20] Campbell, J.F., Lin, B., Dobler, J., Pal, S., Davis, K.J., Obland, M.D., Erxleben, W., McGregor, D., O’Dell, C., Emily Bell, E., Weir, B.,  Fan, T., Kooi, S., Gordon, I., Corbett, A., and Kochanov, R., 2020. Field Evaluation of Column CO2 Retrievals from Intensity-Modulated Continuous-Wave Differential Absorption Lidar Measurements during ACT-America, AGU/Wiley Journal Earth and Space Science, https://doi.org/10.1029/2019EA000847. 

[19] Zheng, T., Feng, S., Davis, K. J., Pal, S., and Morguí, J. A., 2021. Development and evaluation of CO2 transport in MPAS-A v6.3, Geoscientific Model Development, Accepted, https://doi.org/10.5194/gmd-2020-265. 

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[18] Crosman, E., Ward, A.M., Bieda, S., Lindley, T., Gittinger, M., Pal, S., Vepuri, H., 2023. Engaging Undergraduate Students in Collaborative Field Research with the National Weather Service: The SCORCHER Study, Bulletin of American Meteorology Society, Link here

 [17] Samaddar, A., Feng, S., Lauvaux, T., Pal, S., and Davis, K.J., 2021. Carbon dioxide distribution, origins, and transport along a frontal boundary during summer in mid-latitudes, Journal of Geophysical Research-Atmospheres, Accepted/In Press, https://doi.org/10.1029/2020JD033118

[16] Cimini, N., Angelini, F., Dupont, J.-C., Pal, S., Haeffelin, M. 2013. Microwave radiometer measurements of mixing layer height, Atmospheric Measurement Techniques, 6, 2941–2951.

[15] Lac C., Donnelly, R.P., Masson, V., Pal, S., Riette, S., Donier, S., Queguiner, S., Tanguy, G., Ammoura, L., and I. Xueref-Remy, 2013. CO2 Dispersion modelling over Paris region within the CO2-MEGAPARIS project, Atmospheric Chemistry and Physics, 13, 4941–4961.

[14] Zhang, L., Davis, K.J., Schuh, A.E., Jacobson, A.R., Pal, S., Cui, Y., Baker, D., Crowell, S., Chevallier, F., Liu, J., Weir, B., Philip, S., Johnson, M.S., and Deng F., 2021. Multi-Season Evaluation of CO2 Weather in OCO-2 MIP Models, Journal of Geophysical Research-Atmospheres, https://doi.org/10.1029/2021JD035457.

[13] Davis, K.J., Browell, E.V., Feng, S., Lauvaux, T., Obland, M., Pal, S., Baier, B., Baker, D.F., et al, 2021. The Atmospheric Carbon and Transport (ACT) - America Mission. Bulletin of American Meteorological Society, https://doi.org/10.1175/BAMS-D-20-0300.1

[12] DiGangi, J.P., Choi, Y., Nowak, J.B., Halliday, H.S., Diskin, G.S., Feng, S., Barkley, Z.R., Lauvaux, T., Pal, S., Davis, K.J., Baier, B.C., Colm Sweeney, C., 2021. Seasonal Variability in Local Carbon Dioxide Combustion Sources over the Central and Eastern US using Airborne In-Situ Enhancement Ratios, Journal of Geophysical Research-Atmospheres., https://doi.org/10.1029/2020JD034525. 

[11] Chen, H., Zhang, L.N., Zhang, F., Davis, K.J., Lauvaux, T., Pal, S., Gaudet, B., and DiGangi, J.P., 2019. Evaluation of regional CO2 mole fractions in the ECMWF CAMS real-time atmospheric analysis and NOAA CarbonTracker Near-Real Time reanalysis with airborne observations from ACT-America field campaigns, Journal of Geophysical Research: Atmospheres, 124. https://doi.org/10.1029/2018JD029992. 

[10] Behrendt, A., Wulfmeyer, V., Hammann, E., Muppa, S., Pal, S. 2015. Profiles of second- to fourth-order moments of turbulent temperature fluctuations in the convective boundary layer: first measurements with rotational Raman lidar, Atmospheric Chemistry and Physics, 15, 5485–5500, doi:10.5194/acp-15-5485-2015.

[9] Behrendt A, Wagner G, Petrova A, Shiler M, Pal S, Schaberl T and Wulfmeyer V (2005) Modular lidar systems for high-resolution 4-dimensional measurements of water vapor, temperature, and aerosols, SPIE 5653, 220, doi:10.1117/12.579139.

[8] Christensen and co-authors (including Pal, S.), 2021. Opportunistic Experiments to Constrain Aerosol Effective Radiative Forcing, Atmospheric Chemistry and Physics,https://doi.org/10.5194/acp-22-641-2022 

[7] Bell  et al. (including Pal, S.)., 2020. Evaluation of OCO-2 XCO2 Variability at Local and Synoptic Scales using Lidar and In Situ Observations from the ACT-America Campaigns, Journal of Geophysical Research - Atmospheres, https://doi.org/10.1029/2019JD031400. 

[6] Fernando et al. (including Pal, S.), 2015. The MATERHORN – Unraveling the Intricacies of Mountain Weather, Bulletin of the American Meteorological Society, http://dx.doi.org/10.1175/BAMS-D-13-00131.1

[5] Koffi et al. (including Pal, S.)., 2016: Evaluation of the boundary layer dynamics of the TM5 model over Europe, Geoscientific Model Development,  doi:10.5194/gmd-2016-48, Accepted, July- 2016.

[4] Behrendt et al. (including Pal, S.) 2009. 3-Dimensional observations of atmospheric humidity with a scanning differential absorption lidar, SPIE 7475, 74750L (2009); doi:10.1117/12.835143, ISBN: 9780819477804. ISBN: 9780819477804.

[3] Bhawar et al. (including Pal, S.). 2011. Water Vapour Intercomparison Effort in the Frame of the Convective and Orographically-Induced Precipitation Study: Airborne-to-Ground-based and airborne-to-airborne Lidar Systems Quarterly Journal of Royal Meteorological Society 137: 325-348.

[2] Wulfmeyer et al. (including Pal, S.), 2011. The Convective and Orographically Induced Precipitation Study (COPS): An overview of the field phase and first highlights Quarterly Journal of Royal Meteorological Society 137: 3-30.  [Hot Paper in the field of Geosciences, ScienceWatch.com]

[1] Groenemeijer et al. (including Pal, S.), 2008: Observations of kinematics and thermodynamic structure surrounding a convective storm cluster over a low mountain range Monthly Weather Review 137 585-602.

Other relevant discussion papers/reports available with DOI (Not Numbered)

• Pal, S. and Davis, K.J., 2020. ACT-America Field Campaign Catalogue. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1862

• Samaddar, A., Feng, S., Lauvaux, T., Barkley, Z.R., Pal, S., Davis, K.J., 2020. One-way nested (27km, 9km and 3km) model output of North American atmospheric CO2 simulation (full WRF-chem output), Datat Commons, 2020, doi: 10.26208/49kd-b637,  http://doi.org:/10.26208/49kd-b637 or http://www.datacommons.psu.edu/commonswizard/MetadataDisplay.aspx?Dataset=6239

• Pal, S., K.J. Davis, R.M. Pauly, M.J. McGill, L.J. Campbell, K. Hoffman, A.M. Alejandro, M. Rench, and H. Haas. 2020. ACT-America: CPL-derived Atmospheric Boundary Layer Top Height, Eastern US, 2016-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1825

• Lin, B., J.F. Campbell, J. Dobler, E.V. Browell, S.A. Kooi, S. Pal, T. Fan, W. Erxleben, D. Mcgregor, M.D. Obland, and C. O'Dell. 2020. ACT-America: L1 DAOD Measurements by Airborne CO2 Lidar, Eastern USA. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1817

• Pal, S. 2019. ACT-America: Profile-based Planetary Boundary Layer Heights, Eastern USA. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1706

• Lin, B., J.F. Campbell, J. Dobler, E.V. Browell, S.A. Kooi, S. Pal, T. Fan, W. Erxleben, D. Mcgregor, M.D. Obland, and C. O'dell. 2018. ACT-America: L2 Remotely Sensed Column-average CO2 by Airborne Lidar, Eastern USA. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1649

• Campbell et al. (including Pal, S), 2018. Airborne CO₂ Lidar Measurements for Atmospheric Carbon and Transport: America (ACT-America) Project and Active Sensing of CO₂ Emissions over Nights, Days, and Seasons 2017-2018 Field Campaigns, International Journal of Marine and Environmental Sciences, Vol:12, No:8, 2018

• Davis, K.J., M.D. Obland, B. Lin, T. Lauvaux, C. O'Dell, B. Meadows, E.V. Browell, J.P. DiGangi, C. Sweeney, M.J. McGill, J.D. Barrick, A.R. Nehrir, M.M. Yang, J.R. Bennett, B.C. Baier, A. Roiger, S. Pal, T. Gerken, A. Fried, S. Feng, R. Shrestha, M.A. Shook, G. Chen, L.J. Campbell, Z.R. Barkley, and R.M. Pauly. 2018. ACT-America: L3 Merged In Situ Atmospheric Trace Gases and Flask Data, Eastern USA. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1593 

• Behrendt, A., Wulfmeyer, V., Hammann, E., Muppa, S., Pal, S. 2014. Profiles of second- to third-order moments of turbulent temperature fluctuations in the convective boundary layer:  First Measurements with rotational Raman lidar, Atmospheric Chemistry and Physics Discussion, 14, 29019-29055, doi:10.5194/acpd-14-29019-2014, 2014

• Cimini, D., F. De Angelis, J.-C. Dupont, S. Pal,  and M. Haeffelin, 2013. Mixing layer height retrievals by multichannel microwave radiometer observations, Atmospheric Measurement and Techniques Discuss., 6, 4971-4998, doi:10.5194/amtd-6-4971-2013.

• Lac, C., Donnelly, R. P., Masson, V., Pal, S., Donier, S., Queguiner, S., Tanguy, G., Ammoura, L., and Xueref-Remy, I.: CO2 dispersion modelling over Paris region within the CO2-MEGAPARIS project, Atmospheric Chemistry and Physics Discuss, 12, 28155-28193, doi:10.5194/acpd-12-28155-2012, 2012.

• Koffi, E. N., Bergamaschi, P., Karstens, U., Krol, M., Segers, A., Schmidt, M., Levin, I., Vermeulen, A. T., Fisher, R. E., Kazan, V., Klein Baltink, H., Lowry, D., Manca, G., Meijer, H. A. J., Moncrieff, J., Pal, S., Ramonet, M., and Scheeren, H. A., 2016: Evaluation of the boundary layer dynamics of the TM5 model, Geosci. Model Dev. Discuss., doi:10.5194/gmd-2016-48, in review, 2016.

• Technical description of Water-vapor Differential Absorption Lidar of University of Hohenheim (2008) Behrendt A, Wulfmeyer V, Pal S and Bauer H online at World Data Center for Climate (WDCC). DOI:10.1594/WDCC/cops_suph_wvdial.

• Profiles of temperature and particle backscatter coefficient at 355 nm measured with the Rotational Raman Lidar of University of Hohenheim (UHOH RRL) during COPS 2007 (2008) Behrendt A, Radlach M, Pal S and Wulfmeyer V, World Data Center for Climate. DOI:10.1594/WDCC/cops_suph_rlidar.

• LIRAD (LIdar and RADiometer) Sounding of the Atmospheric Aerosols and Pre-cursor Gases over Pune (2004) Master thesis submitted to University of Pune, India: Pal S,  conducted at Physical Meteorology and Aerology Division, Indian Institute of Tropical Meteorology (IITM), India. Supervisor: Dr. P. C. S. Devara, IITM, Pune, India. 

• Active and Passive Remote Sensing of the Atmospheric Aerosols (2003): Pal S,  Internship training report University of Pune, India conducted at Physical Meteorology and Aerology Division, Indian Institute of Tropical Meteorology (IITM), India. Supervisor: Dr. P. C. S. Devara, IITM, Pune, India.