1   /* Copyright 2002-2024 Thales Alenia Space
2    * Licensed to CS GROUP (CS) under one or more
3    * contributor license agreements.  See the NOTICE file distributed with
4    * this work for additional information regarding copyright ownership.
5    * CS licenses this file to You under the Apache License, Version 2.0
6    * (the "License"); you may not use this file except in compliance with
7    * the License.  You may obtain a copy of the License at
8    *
9    *   http://www.apache.org/licenses/LICENSE-2.0
10   *
11   * Unless required by applicable law or agreed to in writing, software
12   * distributed under the License is distributed on an "AS IS" BASIS,
13   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14   * See the License for the specific language governing permissions and
15   * limitations under the License.
16   */
17  package org.orekit.models.earth.weather;
18  
19  import java.io.IOException;
20  
21  import org.orekit.data.DataSource;
22  import org.orekit.time.TimeScale;
23  
24  /** The Global Pressure and Temperature 3 (GPT3) model.
25   * <p>
26   * This model adds horizontal gradient data to {@link GlobalPressureTemperature2w GPT2w}.
27   * </p>
28   * @author Luc Maisonobe
29   * @since 12.1
30   */
31  public class GlobalPressureTemperature3 extends AbstractGlobalPressureTemperature {
32  
33      /**
34       * Constructor with source of GPT3 auxiliary data given by user.
35       *
36       * @param source grid data source
37       * @param utc UTC time scale.
38       * @exception IOException if grid data cannot be read
39       */
40      public GlobalPressureTemperature3(final DataSource source, final TimeScale utc)
41          throws IOException {
42          super(source, utc,
43                SeasonalModelType.PRESSURE,
44                SeasonalModelType.TEMPERATURE,
45                SeasonalModelType.QV,
46                SeasonalModelType.DT,
47                SeasonalModelType.AH,
48                SeasonalModelType.AW,
49                SeasonalModelType.LAMBDA,
50                SeasonalModelType.TM,
51                SeasonalModelType.GN_H,
52                SeasonalModelType.GE_H,
53                SeasonalModelType.GN_W,
54                SeasonalModelType.GE_W);
55      }
56  
57  }