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| 1 | +/* |
| 2 | +CoordinateSharp is a .NET standard library that is intended to ease geographic coordinate |
| 3 | +format conversions and location based celestial calculations. |
| 4 | +https://github.com/Tronald/CoordinateSharp |
| 5 | +
|
| 6 | +Many celestial formulas in this library are based on Jean Meeus's |
| 7 | +Astronomical Algorithms (2nd Edition). Comments that reference only a chapter |
| 8 | +are referring to this work. |
| 9 | +
|
| 10 | +License |
| 11 | +
|
| 12 | +CoordinateSharp is split licensed and may be licensed under the GNU Affero General Public License version 3 or a commercial use license as stated. |
| 13 | +
|
| 14 | +Copyright (C) 2023, Signature Group, LLC |
| 15 | + |
| 16 | +This program is free software; you can redistribute it and/or modify it under the terms of the GNU Affero General Public License version 3 |
| 17 | +as published by the Free Software Foundation with the addition of the following permission added to Section 15 as permitted in Section 7(a): |
| 18 | +FOR ANY PART OF THE COVERED WORK IN WHICH THE COPYRIGHT IS OWNED BY Signature Group, LLC. Signature Group, LLC DISCLAIMS THE WARRANTY OF |
| 19 | +NON INFRINGEMENT OF THIRD PARTY RIGHTS. |
| 20 | +
|
| 21 | +This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY |
| 22 | +or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details. You should have received a copy of the GNU |
| 23 | +Affero General Public License along with this program; if not, see http://www.gnu.org/licenses or write to the |
| 24 | +Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA, 02110-1301 USA, or download the license from the following URL: |
| 25 | +
|
| 26 | +https://www.gnu.org/licenses/agpl-3.0.html |
| 27 | +
|
| 28 | +The interactive user interfaces in modified source and object code versions of this program must display Appropriate Legal Notices, |
| 29 | +as required under Section 5 of the GNU Affero General Public License. |
| 30 | +
|
| 31 | +You can be released from the requirements of the license by purchasing a commercial license. Buying such a license is mandatory |
| 32 | +as soon as you develop commercial activities involving the CoordinateSharp software without disclosing the source code of your own applications. |
| 33 | +These activities include: offering paid services to customers as an ASP, on the fly location based calculations in a web application, |
| 34 | +or shipping CoordinateSharp with a closed source product. |
| 35 | +
|
| 36 | +Organizations or use cases that fall under the following conditions may receive a free commercial use license upon request on a case by case basis. |
| 37 | +
|
| 38 | +
|
| 39 | + -Open source contributors to this library. |
| 40 | + -Scholarly or scientific research. |
| 41 | + -Emergency response / management uses. |
| 42 | +
|
| 43 | +Please visit http://coordinatesharp.com/licensing or contact Signature Group, LLC to purchase a commercial license, or for any questions regarding the AGPL 3.0 license requirements or free use license: sales@signatgroup.com. |
| 44 | +*/ |
| 45 | +using System.Collections.Generic; |
| 46 | + |
| 47 | +namespace CoordinateSharp.Magnetic |
| 48 | +{ |
| 49 | + internal class WMM2025COF |
| 50 | + { |
| 51 | + public static List<CoefficientModel> Data |
| 52 | + { |
| 53 | + get |
| 54 | + { |
| 55 | + List<CoefficientModel> models = new List<CoefficientModel>(); |
| 56 | + |
| 57 | + //Convert COF to models. |
| 58 | + //NOTES TO QUICKLY CREATE FROM COF FILE |
| 59 | + //REGEX REPLACE (In Notepad++) |
| 60 | + //FIND: ^\s*(-?\d+)\s+(-?\d+)\s+(-?\d+\.?\d*)\s+(-?\d+\.?\d*)\s+(-?\d+\.?\d*)\s+(-?\d+\.?\d*)\s*$ |
| 61 | + //REPALCE: models.Add\(new CoefficientModel\(\1, \2, \3, \4, \5, \6\)\);\n |
| 62 | + models.Add(new CoefficientModel(1, 0, -29351.8, 0.0, 12.0, 0.0)); |
| 63 | + models.Add(new CoefficientModel(1, 1, -1410.8, 4545.4, 9.7, -21.5)); |
| 64 | + models.Add(new CoefficientModel(2, 0, -2556.6, 0.0, -11.6, 0.0)); |
| 65 | + models.Add(new CoefficientModel(2, 1, 2951.1, -3133.6, -5.2, -27.7)); |
| 66 | + models.Add(new CoefficientModel(2, 2, 1649.3, -815.1, -8.0, -12.1)); |
| 67 | + models.Add(new CoefficientModel(3, 0, 1361.0, 0.0, -1.3, 0.0)); |
| 68 | + models.Add(new CoefficientModel(3, 1, -2404.1, -56.6, -4.2, 4.0)); |
| 69 | + models.Add(new CoefficientModel(3, 2, 1243.8, 237.5, 0.4, -0.3)); |
| 70 | + models.Add(new CoefficientModel(3, 3, 453.6, -549.5, -15.6, -4.1)); |
| 71 | + models.Add(new CoefficientModel(4, 0, 895.0, 0.0, -1.6, 0.0)); |
| 72 | + models.Add(new CoefficientModel(4, 1, 799.5, 278.6, -2.4, -1.1)); |
| 73 | + models.Add(new CoefficientModel(4, 2, 55.7, -133.9, -6.0, 4.1)); |
| 74 | + models.Add(new CoefficientModel(4, 3, -281.1, 212.0, 5.6, 1.6)); |
| 75 | + models.Add(new CoefficientModel(4, 4, 12.1, -375.6, -7.0, -4.4)); |
| 76 | + models.Add(new CoefficientModel(5, 0, -233.2, 0.0, 0.6, 0.0)); |
| 77 | + models.Add(new CoefficientModel(5, 1, 368.9, 45.4, 1.4, -0.5)); |
| 78 | + models.Add(new CoefficientModel(5, 2, 187.2, 220.2, 0.0, 2.2)); |
| 79 | + models.Add(new CoefficientModel(5, 3, -138.7, -122.9, 0.6, 0.4)); |
| 80 | + models.Add(new CoefficientModel(5, 4, -142.0, 43.0, 2.2, 1.7)); |
| 81 | + models.Add(new CoefficientModel(5, 5, 20.9, 106.1, 0.9, 1.9)); |
| 82 | + models.Add(new CoefficientModel(6, 0, 64.4, 0.0, -0.2, 0.0)); |
| 83 | + models.Add(new CoefficientModel(6, 1, 63.8, -18.4, -0.4, 0.3)); |
| 84 | + models.Add(new CoefficientModel(6, 2, 76.9, 16.8, 0.9, -1.6)); |
| 85 | + models.Add(new CoefficientModel(6, 3, -115.7, 48.8, 1.2, -0.4)); |
| 86 | + models.Add(new CoefficientModel(6, 4, -40.9, -59.8, -0.9, 0.9)); |
| 87 | + models.Add(new CoefficientModel(6, 5, 14.9, 10.9, 0.3, 0.7)); |
| 88 | + models.Add(new CoefficientModel(6, 6, -60.7, 72.7, 0.9, 0.9)); |
| 89 | + models.Add(new CoefficientModel(7, 0, 79.5, 0.0, -0.0, 0.0)); |
| 90 | + models.Add(new CoefficientModel(7, 1, -77.0, -48.9, -0.1, 0.6)); |
| 91 | + models.Add(new CoefficientModel(7, 2, -8.8, -14.4, -0.1, 0.5)); |
| 92 | + models.Add(new CoefficientModel(7, 3, 59.3, -1.0, 0.5, -0.8)); |
| 93 | + models.Add(new CoefficientModel(7, 4, 15.8, 23.4, -0.1, 0.0)); |
| 94 | + models.Add(new CoefficientModel(7, 5, 2.5, -7.4, -0.8, -1.0)); |
| 95 | + models.Add(new CoefficientModel(7, 6, -11.1, -25.1, -0.8, 0.6)); |
| 96 | + models.Add(new CoefficientModel(7, 7, 14.2, -2.3, 0.8, -0.2)); |
| 97 | + models.Add(new CoefficientModel(8, 0, 23.2, 0.0, -0.1, 0.0)); |
| 98 | + models.Add(new CoefficientModel(8, 1, 10.8, 7.1, 0.2, -0.2)); |
| 99 | + models.Add(new CoefficientModel(8, 2, -17.5, -12.6, 0.0, 0.5)); |
| 100 | + models.Add(new CoefficientModel(8, 3, 2.0, 11.4, 0.5, -0.4)); |
| 101 | + models.Add(new CoefficientModel(8, 4, -21.7, -9.7, -0.1, 0.4)); |
| 102 | + models.Add(new CoefficientModel(8, 5, 16.9, 12.7, 0.3, -0.5)); |
| 103 | + models.Add(new CoefficientModel(8, 6, 15.0, 0.7, 0.2, -0.6)); |
| 104 | + models.Add(new CoefficientModel(8, 7, -16.8, -5.2, -0.0, 0.3)); |
| 105 | + models.Add(new CoefficientModel(8, 8, 0.9, 3.9, 0.2, 0.2)); |
| 106 | + models.Add(new CoefficientModel(9, 0, 4.6, 0.0, -0.0, 0.0)); |
| 107 | + models.Add(new CoefficientModel(9, 1, 7.8, -24.8, -0.1, -0.3)); |
| 108 | + models.Add(new CoefficientModel(9, 2, 3.0, 12.2, 0.1, 0.3)); |
| 109 | + models.Add(new CoefficientModel(9, 3, -0.2, 8.3, 0.3, -0.3)); |
| 110 | + models.Add(new CoefficientModel(9, 4, -2.5, -3.3, -0.3, 0.3)); |
| 111 | + models.Add(new CoefficientModel(9, 5, -13.1, -5.2, 0.0, 0.2)); |
| 112 | + models.Add(new CoefficientModel(9, 6, 2.4, 7.2, 0.3, -0.1)); |
| 113 | + models.Add(new CoefficientModel(9, 7, 8.6, -0.6, -0.1, -0.2)); |
| 114 | + models.Add(new CoefficientModel(9, 8, -8.7, 0.8, 0.1, 0.4)); |
| 115 | + models.Add(new CoefficientModel(9, 9, -12.9, 10.0, -0.1, 0.1)); |
| 116 | + models.Add(new CoefficientModel(10, 0, -1.3, 0.0, 0.1, 0.0)); |
| 117 | + models.Add(new CoefficientModel(10, 1, -6.4, 3.3, 0.0, 0.0)); |
| 118 | + models.Add(new CoefficientModel(10, 2, 0.2, 0.0, 0.1, -0.0)); |
| 119 | + models.Add(new CoefficientModel(10, 3, 2.0, 2.4, 0.1, -0.2)); |
| 120 | + models.Add(new CoefficientModel(10, 4, -1.0, 5.3, -0.0, 0.1)); |
| 121 | + models.Add(new CoefficientModel(10, 5, -0.6, -9.1, -0.3, -0.1)); |
| 122 | + models.Add(new CoefficientModel(10, 6, -0.9, 0.4, 0.0, 0.1)); |
| 123 | + models.Add(new CoefficientModel(10, 7, 1.5, -4.2, -0.1, 0.0)); |
| 124 | + models.Add(new CoefficientModel(10, 8, 0.9, -3.8, -0.1, -0.1)); |
| 125 | + models.Add(new CoefficientModel(10, 9, -2.7, 0.9, -0.0, 0.2)); |
| 126 | + models.Add(new CoefficientModel(10, 10, -3.9, -9.1, -0.0, -0.0)); |
| 127 | + models.Add(new CoefficientModel(11, 0, 2.9, 0.0, 0.0, 0.0)); |
| 128 | + models.Add(new CoefficientModel(11, 1, -1.5, 0.0, -0.0, -0.0)); |
| 129 | + models.Add(new CoefficientModel(11, 2, -2.5, 2.9, 0.0, 0.1)); |
| 130 | + models.Add(new CoefficientModel(11, 3, 2.4, -0.6, 0.0, -0.0)); |
| 131 | + models.Add(new CoefficientModel(11, 4, -0.6, 0.2, 0.0, 0.1)); |
| 132 | + models.Add(new CoefficientModel(11, 5, -0.1, 0.5, -0.1, -0.0)); |
| 133 | + models.Add(new CoefficientModel(11, 6, -0.6, -0.3, 0.0, -0.0)); |
| 134 | + models.Add(new CoefficientModel(11, 7, -0.1, -1.2, -0.0, 0.1)); |
| 135 | + models.Add(new CoefficientModel(11, 8, 1.1, -1.7, -0.1, -0.0)); |
| 136 | + models.Add(new CoefficientModel(11, 9, -1.0, -2.9, -0.1, 0.0)); |
| 137 | + models.Add(new CoefficientModel(11, 10, -0.2, -1.8, -0.1, 0.0)); |
| 138 | + models.Add(new CoefficientModel(11, 11, 2.6, -2.3, -0.1, 0.0)); |
| 139 | + models.Add(new CoefficientModel(12, 0, -2.0, 0.0, 0.0, 0.0)); |
| 140 | + models.Add(new CoefficientModel(12, 1, -0.2, -1.3, 0.0, -0.0)); |
| 141 | + models.Add(new CoefficientModel(12, 2, 0.3, 0.7, -0.0, 0.0)); |
| 142 | + models.Add(new CoefficientModel(12, 3, 1.2, 1.0, -0.0, -0.1)); |
| 143 | + models.Add(new CoefficientModel(12, 4, -1.3, -1.4, -0.0, 0.1)); |
| 144 | + models.Add(new CoefficientModel(12, 5, 0.6, -0.0, -0.0, -0.0)); |
| 145 | + models.Add(new CoefficientModel(12, 6, 0.6, 0.6, 0.1, -0.0)); |
| 146 | + models.Add(new CoefficientModel(12, 7, 0.5, -0.1, -0.0, -0.0)); |
| 147 | + models.Add(new CoefficientModel(12, 8, -0.1, 0.8, 0.0, 0.0)); |
| 148 | + models.Add(new CoefficientModel(12, 9, -0.4, 0.1, 0.0, -0.0)); |
| 149 | + models.Add(new CoefficientModel(12, 10, -0.2, -1.0, -0.1, -0.0)); |
| 150 | + models.Add(new CoefficientModel(12, 11, -1.3, 0.1, -0.0, 0.0)); |
| 151 | + models.Add(new CoefficientModel(12, 12, -0.7, 0.2, -0.1, -0.1)); |
| 152 | + |
| 153 | + models.Add(new CoefficientModel(13, 0, null, null, null, null)); |
| 154 | + models.Add(new CoefficientModel(13, 1, null, null, null, null)); |
| 155 | + models.Add(new CoefficientModel(13, 2, null, null, null, null)); |
| 156 | + models.Add(new CoefficientModel(13, 3, null, null, null, null)); |
| 157 | + models.Add(new CoefficientModel(13, 4, null, null, null, null)); |
| 158 | + models.Add(new CoefficientModel(13, 5, null, null, null, null)); |
| 159 | + models.Add(new CoefficientModel(13, 6, null, null, null, null)); |
| 160 | + models.Add(new CoefficientModel(13, 7, null, null, null, null)); |
| 161 | + models.Add(new CoefficientModel(13, 8, null, null, null, null)); |
| 162 | + models.Add(new CoefficientModel(13, 9, null, null, null, null)); |
| 163 | + models.Add(new CoefficientModel(13, 10, null, null, null, null)); |
| 164 | + models.Add(new CoefficientModel(13, 11, null, null, null, null)); |
| 165 | + models.Add(new CoefficientModel(13, 12, null, null, null, null)); |
| 166 | + |
| 167 | + return models; |
| 168 | + } |
| 169 | + } |
| 170 | + } |
| 171 | +} |
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