## 5 Discussion
However, it is still uncertain to estimate the accurate amount of precipitation, as witnessed by the estimated mean error in the precipitation products over the whole study region. In view of significant extent of biases in the products, we determined the factor of correction of each product for their reliable utilization in hydro-climate projects on annual, winter, and summer monsoon periods over the Punjab region. The results of estimated correction factors of different precipitation products are well covenant with the findings of [27; 89], who estimated the adjustment factors of precipitation products for Upper Indus Basin (UIB). However, the magnitude of the estimated correction factors is different due to different study period and region. The spatial and temporal performance of the products depend on a multiple factors, which are intricate in the data algorithms of the products, e.g., sources of data, spatial and temporal resolution, interpolation techniques, missing gaps in data and topography, etc. [50; 90]. Similarly, the number of stations, quality, and time scale of in-situ records used for the evaluation of global products are also very important for the identification of potential product for the specific regions [72]. The detection of autocorrelation in the datasets is also important for the accuracy of trends detection and abrupt changes in the climate data series. However, the presence of autocorrelation was more significant for precipitation products, particularly for high altitude regions above 4000 m [27]. The superior performance of GPCC and TRMM precipitation products over the Punjab region might be due to their better data processing procedures, number of gauge station into account, and interpolation techniques. The precipitation products, even with their intrinsic biases and limitations, are still important for providing valuable source of information related to precipitation variability on spatial and temporal scale. The global precipitation products are also important for climate studies when there is a lack of funding or resources to go into the field and record these types of observations. Caution must also be exercised when comparing and using the GPPs; large uncertainty exists where gauge density is low [91]. The present study highlights the potential products for precipitation over the Punjab province. The evaluation results are beneficial for improving our understanding towards the use of products in arid and semi-arid regions, like Punjab province. However, the spatial and temporal discrepancies were also identified, which will be useful for the further use of these products in hydro-meteorological applications. In view of large discrepancies among the products, future studies should focus on the new methods for the better comparative accuracy and evaluation procedure of global climate products. For instance, [92] introduce a new method of evaluation and decision making by using the fuzzy logic procedure based on the integrated linguistic operated weighted average (ILOWA) method. The main advantage of this technique is to provide sustainable products by using different linguistic terms that are primarily an easy approach for decision making. The products assessments based on integrated models could increase the level of accuracy for the appropriate selection of potential products by considering the statistical indicators.