Dear Authors, 

please, see the attached PDF document.

The paper investigates the performance of SODAR and LIDAR vertical wind profilers during precipitation events, focusing on their Range Availability (RA) and the reliability of wind speed measurements. The study analyzes data from the Brazilian equatorial coastal region, comparing observations near and far from the shoreline. Results indicate that rainfall significantly impacts SODAR performance while having minimal effects on LIDAR near the coast. The findings aim to guide the selection of wind profiling technologies for regions with high rainfall and varying meteorological conditions. The paper has multiple unique strengths including (1) covering both SODAR and LIDAR profilers, providing a comparative assessment of their performance under varying conditions (with metrics such as Pearson Correlation); (2) addressing a critical issue for wind energy project developers in regions with high rainfall, offering actionable insights for technology selection; (3) relatively good 14 months of data (both dry and rainy) and (4) highlighting the importance of location (near vs. far from the coast) in determining the performance of LIDAR and SODAR technologies. However, multiple areas need to be addressed:

• The findings are specific to the studied region, with limited discussion on how the results might apply to other geographic areas or climates.
• The paper does not address the potential trade-offs between accuracy and computational or operational costs of using LIDAR versus SODAR.
• While Pearson correlation is used to validate the representativeness of the measurements, no detailed analysis is provided for extreme weather events or edge cases.
• Key terms such as "dynamic recovery" for SODAR and specific RA thresholds for decision-making are not well-defined.
• Some sections, such as the methodology and results, lack clarity in distinguishing novel contributions from existing literature.