Based on the survey of Lapitan et al., (2017), majority of the locations with AWS are regularly cleaned by the operators. This entails some maintenance cost. Economic loss due to the impacts of climate change are lessened since farmers can anticipate for weather changes.

Automated Weather Stations (AWS) must be installed in the LGUs. PAGASA has provided technical assistance for the installation, training, and use of the AWS within the LGUs. Local Climate Information Centres (LCICs) were set-up and operational in the case study municipalities. The municipal LCICs recorded temperature, rainfall, humidity, wind speed, and other meteorological observations twice a day. Location-specific metrological information was processed by the LGU and PAGASA that was adjusted for local farming conditions. Weather forecasts and advisory bulletins were broadcasted daily via local radio stations, cable, and satellite television that provided farmers with real-time advice on local weather, farming activities, and disaster preparedness. (Chandra et al., 2017, p.222) According to Nota, et al. (2012),site selection for the installation of AWS is very critical, hence, general site criteria was developed. PAGASA provided the following criteria for AWS location:  Site is fairly level and free from obstruction  Site has a grass cover and no tall weeds  Site is not concrete, asphalt or crushed stone  Obstruction such as trees, buildings and nearby shrubs is not close to the instruments; distance of AWS should be at least 4 times the height of obstruction  No obstruction can cast shadows during the greater part of the day, though brief periods of shadow near sunrise and or sunset are sometimes unavoidable; hence the east-west direction should be identified  Site is accessible from all means of transportation for operation and maintenance  Site should be located in a place truly representative of the natural conditions in the agricultural region  Recipient (DA-RFU-ROS, LGUs, SUCs) is willing to provide observer for manual reading of standard rain gauge and for overseeing the operation and maintenance of installed AWS  With strong GSM signal (e.g. Globe, Smart, Sun)  Not visited by flood annually  No social/right of way problem; if the recipient is not the land owner, usufruct agreement from the owner is mandatory  Security of the site is outmost concern (Lapitan et al., 2017, pp.5-6)

The survey of Lapitan et al. (2017) revealed that farmers still depend on their experiences and mentioned that their predictions of extreme events are not any more accurate. Despite this, farmers still depend on any forecast to plant and to decide on crop insurance (p.17). For agricultural technicians/extensionists, information from AWS are barely used as majority still refer to climate information from PAGASA through TV/radio or through DA to make forecast advisories. One reason for not using information from locally installed AWS/rain gauge was that they were not given with the data. On the other hand, when the Municipal Agricultural Offices (MAOs), DA-RFOs, and Agricultural Extensionists/Technicians were asked, the climate data gathered from the AWS/Agromet/rain gauges were mostly used by farmers and fisherfolks, and the MAO. Users also include MDRRMO, the academe. students, private agencies, OPAG, PCIC, and BSWM. (Lapitan et al., 2017, p.13)

Implementing this climate change solution does not have direct environmental impacts.