@article{gutierrez_araya_kiliyanpilakkil_ruiz-columbie_tutkun_castillo_2016, title={Structural impact assessment of low level jets over wind turbines}, volume={8}, number={2}, journal={Journal of Renewable and Sustainable Energy}, author={Gutierrez, W. and Araya, G. and Kiliyanpilakkil, P. and Ruiz-Columbie, A. and Tutkun, M. and Castillo, L.}, year={2016} }
 @article{kiliyanpilakkil_basu_ruiz-columbie_araya_castillo_hirth_burgett_2015, title={Buoyancy effects on the scaling characteristics of atmospheric boundary-layer wind fields in the mesoscale range}, volume={92}, ISSN={["1550-2376"]}, DOI={10.1103/physreve.92.033005}, abstractNote={We have analyzed long-term wind speed time series from five field sites up to a height of 300 m from the ground. Structure function-based scaling analysis has revealed that the scaling exponents in the mesoscale regime systematically depend on height. This anomalous behavior is likely caused by the buoyancy effects. In the framework of the extended self-similarity, the relative scaling exponents portray quasiuniversal behavior.}, number={3}, journal={PHYSICAL REVIEW E}, author={Kiliyanpilakkil, V. P. and Basu, S. and Ruiz-Columbie, A. and Araya, G. and Castillo, L. and Hirth, B. and Burgett, W.}, year={2015}, month={Sep} }
 @article{kiliyanpilakkil_basu_2015, title={Extended self-similarity of atmospheric boundary layer wind fields in mesoscale regime: Is it real?}, volume={112}, ISSN={["1286-4854"]}, DOI={10.1209/0295-5075/112/64003}, abstractNote={In this letter, we study the scaling properties of multi-year observed and atmospheric model-generated wind time series. We have found that the extended self-similarity holds for the observed series, and remarkably, the scaling exponents corresponding to the mesoscale range closely match the well-accepted inertial-range turbulence values. However, the scaling results from the simulated time series are significantly different.}, number={6}, journal={EPL}, author={Kiliyanpilakkil, V. P. and Basu, S.}, year={2015}, month={Dec} }
 @article{johnson_meskhidze_kiliyanpilakkil_2012, title={A global comparison of GEOS-Chem-predicted and remotely-sensed mineral dust aerosol optical depth and extinction profiles}, volume={4}, ISSN={["1942-2466"]}, DOI={10.1029/2011ms000109}, abstractNote={Dust aerosol optical depth (AOD) and vertical distribution of aerosol extinction predicted by a global chemical transport model (GEOS‐Chem) are compared to space‐borne data from the Moderate‐resolution Imaging Spectroradiometer (MODIS), Multi‐Angle Imaging SpectroRadiometer (MISR), and Cloud‐Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) for March 2009 to February 2010. Model‐predicted and remotely‐sensed AOD/aerosol extinction profiles are compared over six regions where aerosol abundances are dominated by mineral dust. Calculations indicate that over the regions examined in this study (with the exception of Middle Eastern dust sources) GEOS‐Chem predicts higher AOD values compared to MODIS and MISR. The positive bias is particularly pronounced over the Saharan dust source regions, where model‐predicted AOD values are a factor of 2 to 3 higher. The comparison with CALIPSO‐derived dust aerosol extinction profiles revealed that the model overestimations of dust abundances over the study regions primarily occur below ∼4 km, suggesting excessive emissions of mineral dust and/or uncertainties in dust optical properties. The implementation of a new dust size distribution scheme into GEOS‐Chem reduced the yearly‐mean positive bias in model‐predicted AOD values over the study regions. The results were most noticeable over the Saharan dust source regions where the differences between model‐predicted and MODIS/MISR retrieved AOD values were reduced from 0.22 and 0.17 to 0.02 and −0.04, respectively. Our results suggest that positive/negative biases between satellite and model‐predicted aerosol extinction values at different altitudes can sometimes even out, giving a false impression for the agreement between remotely‐sensed and model‐predicted column‐integrated AOD data.}, journal={JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS}, author={Johnson, Matthew S. and Meskhidze, Nicholas and Kiliyanpilakkil, Velayudhan Praju}, year={2012}, month={Jul} }
 @article{kiliyanpilakkil_meskhidze_2011, title={Deriving the effect of wind speed on clean marine aerosol optical properties using the A-Train satellites}, volume={11}, ISSN={["1680-7324"]}, DOI={10.5194/acp-11-11401-2011}, abstractNote={Abstract. The relationship between "clean marine" aerosol optical properties and ocean surface wind speed is explored using remotely sensed data from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on board the CALIPSO satellite and the Advanced Microwave Scanning Radiometer (AMSR-E) on board the AQUA satellite. Detailed data analyses are carried out over 15 regions selected to be representative of different areas of the global ocean for the time period from June 2006 to April 2011. Based on remotely sensed optical properties the CALIPSO algorithm is capable of discriminating "clean marine" aerosols from other types often present over the ocean (such as urban/industrial pollution, desert dust and biomass burning). The global mean optical depth of "clean marine" aerosol at 532 nm (AOD532) is found to be 0.052 ± 0.038 (mean plus or minus standard deviation). The mean layer integrated particulate depolarization ratio of marine aerosols is 0.02 ± 0.016. Integrated attenuated backscatter and color ratio of marine aerosols at 532 nm were found to be 0.003 ± 0.002 sr−1 and 0.530 ± 0.149, respectively. A logistic regression between AOD532 and 10-m surface wind speed (U10) revealed three distinct regimes. For U10 ≤ 4 m s−1 the mean CALIPSO-derived AOD532 is found to be 0.02 ± 0.003 with little dependency on the surface wind speed. For 4 < U10 ≤ 12 m s−1, representing the dominant fraction of all available data, marine aerosol optical depth is linearly correlated with the surface wind speed values, with a slope of 0.006 s m−1. In this intermediate wind speed region, the AOD532 vs. U10 regression slope derived here is comparable to previously reported values. At very high wind speed values (U10 > 18 m s−1), the AOD532-wind speed relationship showed a tendency toward leveling off, asymptotically approaching value of 0.15. The conclusions of this study regarding the aerosol extinction vs. wind speed relationship may have been influenced by the constant lidar ratio used for CALIPSO-derived AOD532. Nevertheless, active satellite sensor used in this study that allows separation of maritime wind induced component of AOD from the total AOD over the ocean could lead to improvements in optical properties of sea spray aerosols and their production mechanisms.}, number={22}, journal={ATMOSPHERIC CHEMISTRY AND PHYSICS}, author={Kiliyanpilakkil, V. P. and Meskhidze, N.}, year={2011}, pages={11401–11413} }
 @article{johnson_meskhidze_kiliyanpilakkil_gasso_2011, title={Understanding the transport of Patagonian dust and its influence on marine biological activity in the South Atlantic Ocean}, volume={11}, ISSN={["1680-7324"]}, DOI={10.5194/acp-11-2487-2011}, abstractNote={Abstract. The supply of bioavailable iron to the high-nitrate low-chlorophyll (HNLC) waters of the Southern Ocean through atmospheric pathways could stimulate phytoplankton blooms and have major implications for the global carbon cycle. In this study, model results and remotely-sensed data are analyzed to examine the horizontal and vertical transport pathways of Patagonian dust and quantify the effect of iron-laden mineral dust deposition on marine biological productivity in the surface waters of the South Atlantic Ocean (SAO). Model simulations for the atmospheric transport and deposition of mineral dust and bioavailable iron are carried out for two large dust outbreaks originated at the source regions of northern Patagonia during the austral summer of 2009. Model-simulated horizontal and vertical transport pathways of Patagonian dust plumes are in reasonable agreement with remotely-sensed data. Simulations indicate that the synoptic meteorological patterns of high and low pressure systems are largely accountable for dust transport trajectories over the SAO. According to model results and retrievals from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO), synoptic flows caused by opposing pressure systems (a high pressure system located to the east or north-east of a low pressure system) elevate the South American dust plumes well above the marine boundary layer. Under such conditions, the bulk concentration of mineral dust can quickly be transported around the low pressure system in a clockwise manner, follow the southeasterly advection pathway, and reach the HNLC waters of the SAO and Antarctica in ~3–4 days after emission from the source regions of northern Patagonia. Two different mechanisms for dust-iron mobilization into a bioavailable form are considered in this study. A global 3-D chemical transport model (GEOS-Chem), implemented with an iron dissolution scheme, is employed to estimate the atmospheric fluxes of soluble iron, while a dust/biota assessment tool (Boyd et al., 2010) is applied to evaluate the amount of bioavailable iron formed through the slow and sustained leaching of dust in the ocean mixed layer. The effect of iron-laden mineral dust supply on surface ocean biomass is investigated by comparing predicted surface chlorophyll-a concentration ([Chl-a]) to remotely-sensed data. As the dust transport episodes examined here represent large summertime outflows of mineral dust from South American continental sources, this study suggests that (1) atmospheric fluxes of mineral dust from Patagonia are not likely to be the major source of bioavailable iron to ocean regions characterized by high primary productivity; (2) even if Patagonian dust plumes may not cause visible algae blooms, they could still influence background [Chl-a] in the South Atlantic sector of the Southern Ocean.
                    }, number={6}, journal={ATMOSPHERIC CHEMISTRY AND PHYSICS}, author={Johnson, M. S. and Meskhidze, N. and Kiliyanpilakkil, V. P. and Gasso, S.}, year={2011}, pages={2487–2502} }