Described herein are systems and method for monitoring weather conditions and controlling field operations based on the weather conditions. In one embodiment, a system for monitoring weather conditions for field operations includes a plurality of weather devices for monitoring weather conditions of fields with at least at one weather device in proximity to each field being monitored and at least one weather device having an electronics module for determining weather data including precipitation data. The system also includes an agricultural computer system having at least one processing unit for executing instructions for monitoring weather conditions. The at least one processing unit is configured to execute instructions to receive weather data from the plurality of weather devices for monitoring weather conditions of fields, to process the weather data, and to generate data including precipitation rate for monitoring weather conditions and operations of the plurality of weather devices.

Described herein are systems and method for monitoring weather conditions and controlling field operations based on the weather conditions. In one embodiment, a system for monitoring weather conditions for field operations includes a plurality of weather devices for monitoring weather conditions of fields with at least at one weather device in proximity to each field being monitored and at least one weather device having an electronics module for determining weather data including precipitation data. The system also includes an agricultural computer system having at least one processing unit for executing instructions for monitoring weather conditions. The at least one processing unit is configured to execute instructions to receive weather data from the plurality of weather devices for monitoring weather conditions of fields, to process the weather data, and to generate data including precipitation rate for monitoring weather conditions and operations of the plurality of weather devices.

The present invention provides a method for calibrating monthly precipitation forecast by using a Gamma-Gaussian distribution, including the following steps: acquiring forecast data of monthly average precipitation in a watershed area and corresponding observed values of the average precipitation in the watershed area as input data; performing fitting on the input data by means of a Gamma distribution function; calculating a cumulative distribution function value of each input data in a corresponding Gamma distribution; transforming the cumulative distribution function values into variables obeying a standard normal distribution; constructing a joint normal distribution according to the variables obeying the standard normal distribution to characterize a correlation between the forecast data and the observed values in the input data; and randomly sampling the observed values according to the correlation, and inversely transforming acquired samples to obtain a calibrated forecast result.

Provided are a method and system of verifying an increase in precipitation. The precipitation increase verification method includes: obtaining a first piece of observation information from an upwind area after a seeding experiment; obtaining a second piece of observation information from a downwind area; comparing the first piece of observation information with the second piece of observation information, and thus determining whether or not the first piece of observation information and the second piece of observation information fall within a linear scope; and determining that an effect resulting from the seeding experiment can be proved when the first piece of observation information and the second piece of observation information fall within the linear scope.

Provided are a method and system of verifying an increase in precipitation. The precipitation increase verification method includes: obtaining a first piece of observation information from an upwind area after a seeding experiment; obtaining a second piece of observation information from a downwind area; comparing the first piece of observation information with the second piece of observation information, and thus determining whether or not the first piece of observation information and the second piece of observation information fall within a linear scope; and determining that an effect resulting from the seeding experiment can be proved when the first piece of observation information and the second piece of observation information fall within the linear scope.

An assembly and method for using weather sensors with enhanced modular capability is disclosed. The weather sensor assembly generally comprises a cap module, middle module, and a base module, where the cap module, middle module(s) and the base module are stacked adjacently to provide environmental sealing, weather sensing, and electrical connectivity to the weather sensor assembly. One or more ring mechanisms may be included that interlock the cap module, middle module(s), base module to form the weather sensor assembly into an integrated unit. Moreover, the ring mechanisms enable further modules to be added to the weather sensor assembly for additional capabilities. By doing so, each of the modules in the weather sensor assembly may be independent units that can be removed, reordered, swapped, and added for desired sensing modalities and environments.

An assembly and method for using weather sensors with enhanced modular capability is disclosed. The weather sensor assembly generally comprises a cap module, middle module, and a base module, where the cap module, middle module(s) and the base module are stacked adjacently to provide environmental sealing, weather sensing, and electrical connectivity to the weather sensor assembly. One or more ring mechanisms may be included that interlock the cap module, middle module(s), base module to form the weather sensor assembly into an integrated unit. Moreover, the ring mechanisms enable further modules to be added to the weather sensor assembly for additional capabilities. By doing so, each of the modules in the weather sensor assembly may be independent units that can be removed, reordered, swapped, and added for desired sensing modalities and environments.

A sensor enclosure comprises a cover and a structure. The structure can be encased by the cover. The structure comprises a frame, a ring, and one or more anchoring posts. The frame can be configured to mount one or more sensors. The ring, disposed peripherally to the frame, can be operatively coupled to the cover. The ring can include a drainage ring plate that drains rainwater accumulated on the cover away from the sensor enclosure. The one or more anchoring posts, disposed underneath the frame and the ring, can be used to anchor the sensor enclosure to a vehicle.

A sensor enclosure comprises a cover and a structure. The structure can be encased by the cover. The structure comprises a frame, a ring, and one or more anchoring posts. The frame can be configured to mount one or more sensors. The ring, disposed peripherally to the frame, can be operatively coupled to the cover. The ring can include a drainage ring plate that drains rainwater accumulated on the cover away from the sensor enclosure. The one or more anchoring posts, disposed underneath the frame and the ring, can be used to anchor the sensor enclosure to a vehicle.

A rain gauge device comprises a water collector configured to receive water, the rain gauge device being movable between a water collection position and an emptying position, a measuring means 106 configured to measure a parameter representative of a weight measurement, and a control unit configured to use the measuring means to perform a plurality of weight measurements.