PATENT CLAIM ANALYSIS

Application Number: 16240610
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-06
Patent Classification: ["702", "003000"]

Abstract:
In an approach, a computer receives an observation dataset that identifies one or more ground truth values of an environmental variable at one or more times and a reforecast dataset that identifies one or more predicted values of the environmental variable produced by a forecast model that correspond to the one or more times. The computer then trains a climatology on the observation dataset to generate an observed climatology and trains the climatology on the reforecast dataset to generate a forecast climatology. The computer identifies observed anomalies by subtracting the observed climatology from the observation dataset and forecast anomalies by subtracting the forecast climatology from the reforecast dataset. The computer then models the observed anomalies as a function of the forecast anomalies, resulting in a calibration function, which the computer can then use to calibrate new forecasts received from the forecast model.

Claim (Index 1):
A method for providing an improvement in long-range temperature forecasting using agricultural applications, the method comprising:\n an agricultural intelligence computer receiving an observation dataset that identifies at least a forecast climatology model; the agricultural intelligence computer training a climatology model on the observation dataset to generate an observed climatology model; wherein the climatology model includes as covariates a combination of a linear trend and a series of harmonics; the agricultural intelligence computer identifying observed anomalies based on the climatology model and the observation dataset; the agricultural intelligence computer identifying forecast anomalies based on at least he forecast climatology model; the agricultural intelligence computer modeling the observed anomalies as a function of the forecast anomalies to generate a calibration function that is used to correct the forecast climatology model based on the observed anomalies; the agricultural intelligence computer, upon receiving a new forecast produced by the forecast climatology model, calibrating the new forecast using the calibration function.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 2.66071
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15066958', '15153392', '11695353', '15450897', '15092227']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2131285161748201
- 35 USC 102 Novelty (BERT): 0.6381884557711969
- Combined Prediction Score: 0.2556345101344578
- Mean Citation Score: 312.49354
- Max Citation Score: 634.9811
- Similarity Product: 563.9661701450824

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test