Yelena L. Pichugina authored and/or contributed to the following articles/publications.
The wind-energy (WE) industry relies on numerical weather prediction (NWP) forecast models as foundational or base models for many purposes, including wind-resource assessment and wind-power forecasting. During the Second Wind Forecast Improvement Project (WFIP2) in the Columbia River Basin of Oregon and Washington, a significant effort was made...Institutions Earth System Research Laboratory - ESRL National Oceanic and Atmospheric Administration - NOAA
Characterizing NWP Model Errors Using Doppler-Lidar Measurements of Recurrent Regional Diurnal Flows: Marine-Air Intrusions into the Columbia River BasinMarine-Air Intrusions into the Columbia River Basin
Ground-based Doppler-lidar instrumentation provides atmospheric wind data at dramatically improved accuracies and spatial/temporal resolutions. These capabilities have provided new insights into atmospheric flow phenomena, but they also should have a strong role in NWP model improvement. Insight into the nature of model errors can be gained by s...Institution National Oceanic and Atmospheric Administration - NOAA
Annually and seasonally averaged wind profiles from three Doppler lidars were obtained from sites in the Columbia River Basin of east-central Oregon and Washington, a major region of wind-energy production, for the WFIP2 experiment. The profile data are used to quantify the spatial variability of wind flows in this area of complex-terrain, to as...Institutions Earth System Research Laboratory - ESRL National Oceanic and Atmospheric Administration - NOAA
Evaluation of model skill in predicting winds over the ocean was performed by comparing retrospective runs of numerical weather prediction (NWP) forecast models to shipborne Doppler lidar measurements in the Gulf of Maine, a potential region for U.S. coastal wind farm development. Deployed on board the NOAA R/V Ronald H. Brown during a 2004 fiel...Institutions Earth System Research Laboratory - ESRL National Oceanic and Atmospheric Administration - NOAA
This paper will provide an overview of some projects in support of Wind Energy development involving Doppler lidar measurement of wind flow profiles. The high temporal and vertical resolution of these profiles allows the uncertainty of Numerical Weather Prediction models to be evaluated in forecasting dynamic processes and wind flow phenomena in...
Model improvement efforts involve an evaluation of changes in model skill in response to changes in model physics and parameterization. When using wind measurements from various remote sensors to determine model forecast accuracy, it is important to understand the effects of measurement-uncertainty differences among the sensors resulting from di...Institutions Earth System Research Laboratory - ESRL National Oceanic and Atmospheric Administration - NOAA
Low-level jets (LLJs) are an important nocturnal source of wind energy in the U.S. Great Plains. An August 2017 lidar-based field-measurement campaign [the Land–Atmosphere Feedback Experiment (LAFE)] studied LLJs over the central SGP site in Oklahoma and found nearly equal occurrences of the usual southerly jets and postfrontal northeasterly jet...Institution National Oceanic and Atmospheric Administration - NOAA
Doppler-lidar wind-profile measurements at three sites were used to evaluate NWP model errors from two versions of NOAA’s 3-km-grid HRRR model, to see whether updates in the latest version 4 reduced errors when compared against the original version 1. Nested (750-m grid) versions of each were also tested to see how grid spacing affected forecast...Institution National Oceanic and Atmospheric Administration - NOAA