Full Picture

Article analysis:

The article titled "New gridded rainfall dataset over the Korean peninsula: Gap infilling, reconstruction, and validation" presents a new high-resolution daily rainfall dataset for the Korean peninsula. The study describes the process of developing this dataset from rainfall records of 389 gauge stations irregularly distributed across the region. The article highlights the importance of infilling missing data in observational datasets to create accurate gridded products.

The article provides a detailed evaluation framework to identify the proper infilling model in the study area. The results suggest that the elastic net model algorithm is the most effective in dealing with missing values in the study area. However, there is no discussion on potential biases or limitations of this model, which could affect its accuracy.

The article also compares K-Hidra with other gridded rainfall estimates including Climate Prediction Center (CPC), Global Precipitation Climatology Project (GPCP), Asian Precipitation Highly-Resolved Observational Data Integration Towards Evaluation (APHRODITE), and Tropical Rainfall Measuring Missing (TRMM) Multi-satellite Precipitation Analysis (TMPA). The results show that CPC has a small bias and high correlations with K-Hidra while precipitation variabilities are acceptably represented by all other gridded estimates. However, there is no discussion on potential biases or limitations of these estimates, which could affect their accuracy.

The article also reveals that the Korean peninsula has experienced significant changes in precipitation-related characteristics such as annual daily maximum precipitation and total annual dry days, likely leading to frequent hydrologic extremes. However, there is no discussion on potential causes or implications of these changes.

Overall, while the article provides valuable insights into creating a new high-resolution daily rainfall dataset for the Korean peninsula, it lacks critical analysis and discussion on potential biases or limitations of models and estimates used. Additionally, there is a lack of exploration into potential causes or implications of observed changes in precipitation-related characteristics.