Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit331-01-20020820_023300_20020820_071800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/20 |
Start Time | | 2002/08/20 02:33 |
End Time | | 2002/08/20 07:16 |
Key Words | | Facsko et al 2016: 1-year run of GUMICS |
Model | | GUMICS |
Model Version | | 4-HC |
Validation Level | | 1 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -3.04 |
Dipole Tilt, in Y-Z GSE plane, deg | | 23.64 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 232.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit331-01-20020820_023300_20020820_071800-constBx0 |
Minimum Dst Value | | -59 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAU3VuIEphbiAxMyAwMTo1NTo0NyBFU1QgMjAxOSw2JeAAAAHOdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzMzEtMDItMjAwMjA4MjBfMDcxOTAwXzIwMDIwODIwXzEyMDQwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItMSB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0wOC0yMFQwNzoxOTowMC4wMDBaIiwgIm1heCI6IjIwMDItMDgtMjBUMTI6MDI6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MjIsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjowLjEyMjAwNTk5OTUsICJtYXgiOjQuNDI1NTE0MDAwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfXfMybgAAAAEZ0FNQQAAr8g3BYrpAAAkVklEQVR4nO3df3AU9f34cUyAhNDmcxFKDJIAprTawbRm1CENIMTgL/xdx6ZSxEptWoWRtuYHBqW0BdpOccQZTWyqHf9QMXaQ0Ro6jpV2tFYGyrRNDYLyM1oggQYIGoh4fF+Tne/O9fZ2s5dswvv29Xz8wextdt+7r/dr716vuyy5YWcAAAAQqGFn+wQAAADChgYLAAAgYDRYAAAAAaPBAgAACBgNFgAAQMBosAAAAAJGgwUAABAwGiwAAICA0WABAAAEjAYLAAAgYDRYAAAAAaPBAgAACBgNFgAAQMBosAAAAAJGgwUAABAwGiwAAICA0WABAAAEjAYLAAAgYDRYAAAAAaPBAgAACBgNFgAAQMBosAAAAAJGgwUAABAwGiwAAICA0WABAAAEjAYLAAAgYDRYAAAAAaPBAgAACBgNFgAAQMBosAAAAAIWzgZr2LBwxgUAg2owXjzffvvtKVOm9DnyYBz6bNUCahDOaGuwuOgBwMNgvEhOnz59/fr1Z+XQNFgBCmVQgyqc85XsW6VXX3115syZGRkZeXl5CxYsOHjwoPd6awSLx1Gi0Wh1dXUkEsnJyamtrZWH1vqNGzeWlZVlZmbKsAsXLjx8+HDC3d02cxs22cO5bb9r167rr78+0ksW5GH/xklqTob9r+zsbO+p7uzsvPPOO88999yxY8cuX768z/GTOslQzrzbTPZv8I6Ojvz8/NihApn5wRAXrz0J55xzTm5ubkVFRVtbm8fu/Tj/AwcO3HvvvZMmTRoxYoTsdc0118grScKTiVspC1/5yldiDyHLF110UewG9o+2b99+6623ylNg5MiRl1566YsvvmitP3r0qJznlClTRo0aJUe/6aabXn/99T7P2Xky/d7ASZ7OJ0+eHPih+2GwewK3LPTvuEGdbZ/laShbJc1tWTgjT/Y1Yvbs2fIGS2r28ePHV6xYIfXGe73PAzU0NBQXF+/uJQuNjY3W+jlz5jQ3N3d1dR06dKiysnLu3LkJd3fbzG3YZA/ntn1JSUldXV1nr6VLl8rD/o2T1JzEeuSRRx544IG4lXFTfdddd0lpPNjr9ttvf/rpp/s3OXpm3m0m+ze4NBCrVq2KHSqQmR8MzgbLWvjss88++uijH//4x9OnT/fYPdnz//DDDydOnCjDtra2fvLJJ9KwvvLKK1dffXXCk4lbKQtSpF9++WX7Ry+99JKscTZYO3fulO7w17/+9b59+6R3eeedd77xjW9YP5Jj3XPPPbLBqVOn2tvbX3jhhSuuuML7nBOeTL836PcuKddgeWTh7DZYfY5GgzU0UixyuYjvv//+3F6yYL8rkhRKVZ4wYYK8K7Ue/vKXvxw3bpy8sbjvvvvkhcbe7Mz/fljiPIRUmqysLJ/rvS8dKZBSuqxlWSgtLXVuI63b6NGjvaOO28xt2GQP57a9hCmbWcvHjh1LOBt+xkmoz40lWZMnT5YqFbc+bqrHjBkjDYG1LD2WXSMHMjkJhWbmbR4Xrc/BpXUoLCzs7u6OHWqAM//pp58+9NBDBQUFkUhEKpa10uP5Xl9fL31MZmbmtGnTWlparPWvv/76JZdcIivlR1Yn5Hyyx4V/9OjRUaNGycL3v/99u00XTz31lKzxPv+EM3n33XdLc5wwRrddYs+tqakp9hAS3Ysvvug8+TvuuOPnP/95wkNIOBKU2wnEHtTjRfKMy+R7v3gmu4vzdTthWt0ug1g7duyQ5kZiyc7OvuWWWzo6OvyE431QuQBkQNleJiphvB5ZcLve7Id+rlV5D/Czn/1s0qRJOTk53/nOd06cOJFw3ty4PdMTPiliB+xzMt1OzPksdh7LTxGfMWPG888/b5+w9K95eXl+rmrTpFiDJckrLy9v6zV79uyHH37YWi+5uemmm+T9qP1QNvuwlyz85Cc/sdfHLcSRC2X16tXOj5Tc1ns3WHJ12pemvJWUa865zYYNG2bNmuUxiHMzt2GTPZzb9rfddptMrFzNnZ2dy5Ytk4f9GyehPjeW1xp5xjp3dDZYsru1LJ1Wn5OQ1EnGCs3M2zwuWp+DX3fddc8++2zcUAOceSlUcugPPvjgv//975IlS6yVHs/3m2++ec+ePfLEXLFihd2RyKvw73//e3nJllfkhQsXJow3tkgcOHCgpqbG+oBHOoyZM2e+8MILsrxu3TpZ7unp8T7/hDMp5yD1KWGMbrvEvi7JWU2ZMuWvf/2rPNy0aZMsyxrnC5cUJ/s3yHGuvfba22+//a233vrkk0/cTuOMjxdJj8l3GzPZXZyv2wnT6jZsrKKiojfeeENClqfPokWLvvvd7/oPJ+FB5QkoM/lRr6uuuiphCB5Z6LPB8nOtrlmz5sorr9y9e7c8Kb797W//6Ec/Sjhvbjwy5Tyr2AH7nEy3E0v4LI47lp8i/sc//vGiiy6SK9/6kczPL37xC+9gzZRiDdYFF1zw7rvvWsvyVkPeRlvLkpu9e/fam8lDe7N///vfsZvFLcSyumx5S/f+++/7We82ji0tLc16jRaykJ6eHrfBtm3bJk+e7PFynHAzt2GTPZzb9tbvOKyoZcH5NPY5TkLeG8sz6ktf+lJra6tzx7ipnj9//rx58w71kveRw4cPH+DkJBSmmbe5XbQ+B3/ttdcuv/xy6z6h2KEGOPNf/OIX7Q8PbB7Pd+mNrOWPP/7Y+ghK5OfnP/bYY/v37/eId9j/krfg8hJh/ejgwYMyA7W1tfKvfcNlspMsl2JsZ+P8qMC5S9xPn3zyyRtvvPFM7y/7fvOb3zg3sI7S3d2d8ASOHTsmNeyrX/1qZmamTOADDzyQ8K1/ny+SHpPvFnuyuzhftxOm1W1YNzIDEyZM8B+O20G3b99uLcuOCUPwyEKfDZafa/XCCy987733rGW5IOU1wd4sdt7cJNVguQ2YcDLdTizhszjuWD6L+GWXXWa9i9u5c6ecgKTGLRaTpViDJS8Z9gUtC/LQWpbcxN4ZKg/dNotbiCMX0/Lly2fMmOFzvdtrt/XQ+727vD0tKCjYvHmz2+5um/XvowL/48jbi6VLl9p3AsnD/o2TkPfG69atu+GGGxLuGDctR44ckb5KqqO8iVy5cuV5553nPX4/PuwJ2czbEl78/ge/+OKL33zzTedQyU5O3NUe+9S2eTzfE0b097///eabbx4zZsyUKVPs3+u5bWydT11dXey9lfJ+Wjawf0fpcf5u5FJ0vmWyDzpixIi433BJXNLDxW4mG+Tl5T333HPyr/1btrhxPD47sclLonROCxYsSHiXZ58vkj4nP1ayuzhft+N+6j1srC1btkge5QXBuqjsPjjZcGK3tzMV99tw20A+wfJzrUq3F/tmIPY6iZs3Z+Fwjubxo7gB+5xMtxNL+CyOO5bPIr5hw4Yvf/nLp0+f/ta3viWdqFsghkuxBsvnO6TYN2ey4NzM41fX0kslvCkq4XqPK/iM590b0kmMHz9+69atHru7bdaPm12SGkeePG53AiU1TkLeG3/ta1976623Eu7oMdWPP/64NFve4yd7u1L4Zt7mnMmkBh/m4L29z5OUMpPUJ1geEcnL9B/+8Ae75457ssdtLBNuf2jxj3/8Q94rr1+//vzzz7c/rk52kqWhqa2tjVtpH/Siiy565513Yn/0t7/9bdKkSXGbrV69evjw4favRZzVWi74VatWeZ+JRZr1z3/+8871fb5Iuk2+x4tnPz7B8vPQzydYsvKZZ56R911SkuVf54wley35+QTLIwuxjZr96cuBAweSulalw9izZ4/H4N48NvN+UvQ5mW4nlvBZHHcsn4mQmZH3clVVVfLssG8QTDkp1mDJ203717fSYi9btsxa73ySXHXVVdbtBbLgvBXgC1/4QuzvoebPny8Pe3p69u/fv2jRIvsNn9v62AN5nG19fX3C/3+0Zs2agoIC+9nrxm0zt2GTPZzb9lJRZGKtz1EefPBBu6IkO05Sc3Km949ifP3rX3fbMW6q582bJ9eAnOHzzz+fn59vf16d7OQkFMqZt8XN5EAGjx1qgDO/cuXKWbNm7dq1K/buDf/Pd2uhoqJCXrvl5ViKlrSM1sq4J3vsvocPH37ooYemTZt2pvc+S3lB/8tf/iLLL7/88iWXXGL9ps/j/BM+/ffu3SuHtv8XoYTzyiuv2FvKmwE5yp///OdjvTZt2jR16tRf/epXHgOeSdRg7dy5U6ryI488IjNz8uTJzZs32/9/7YorrnjhhRcOHjwoL1xyzpWVlddee23CMb1fJN0mP24+Y/nMl9sEuj10GzaWzMZLL70kUyGXkEyFc8aSvZZke/serKuvvjphCB5ZsLeXZ/GKFSvk6pJc3HjjjUldq48++qics6yRzf71r39985vf9J7POB6beTwpzviYTLcTS/gsjjuW/4tE3vjJyt/+9rc+gzJQKp3rmd5PFBcvXmz9BwRZsD9pdD5JrP8gk5OT84Mf/CD2/ylYC1JUIpGI/bCpqamoqGjkyJFSquX1SHp27/VnHO/jE56t9ODSgFt/1qimpsbtbz6Jrq4u5+5um7kNm+zh3LaXV41rrrnm/3rJS8wHH3zQv3GSmpMzvX+NcMOGDX3Og7XyqaeeklelrKysOXPmbNu2rc/xkzrJUM6820wOZPBhMVf+AGdeugHpKSdMmCDPWalY1kr/z3drQbpteW+dmZkp7dEbb7xhrYx7ssdGeu6550rNs+b5zjvvtG54ssg5WP/ZwuP8h7k88fft23f33XfL9Tl8+PAxY8bccsstb7/9tj0bv/vd7y699FIry7LwzDPP9DngMEeFO9P7fzllZDkreYG67LLL7L/A9Kc//UnWyzTKPEyePPm+++6LfeGKHdP7RdJt8uPmM5bPfLnF6/bQbdhY8vZMUj9ixAh5t/DYY485ZyzZa0k2+N73vieTI1P005/+VEZOGIJbFuxxWlpapIO3/rfgE088kdS1+tlnn0ksF154YUZGhvTl9suj23zGRuF8psdyPimSmky3E0v4LI47lv+LRCZzypQpn376aVxo3rEbJZXOFQAQiNQqVGfXP//5T2lVz/ZZnGWnT5+2/y/R0Ljhhhuee+65oTxi4HiOAYA6NFh9WrJkyYEDB/bu3XvllVf+8Ic/PNunc5Zt2bLF/t+Cg+2zzz578sknL774YvsvNaQonmMYFM5fPBn4gp4SJ5msUAaFwHFV9OnRRx+dMGHCuHHj7rnnnhT9MwEB+tznPvfEE08MzbHk4pw0aZK0dENzuMHDcwwAACBgNFgAAAABo8ECAAAIGA0WAABAwGiwAAAAAkaDBQAAEDAtDVbC/7sOAACG2NnuCIaImjjVZBQAAGPpKcdhjlNnywwAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeU4zHFyDxYAAEbRU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JTjMMfJPVgAABhFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOOwxwn92ABAGAUPeXYrDg7Ojry8/PdZj8ajVZXV0cikZycnNraWnnof2Q9GQUAwFh6yrFZcd57772rVq1ym/2Ghobi4uLdvWShsbHR/8h6MgoAgLH0lGOD4mxtbS0sLOzu7nab/ZKSkubmZmtZFkpLS/0PriejAAAYS085NijO66677tlnnz3jPvvZ2dkdHR3Wcnt7eyQS8T+4nowCAGAsPeXYlDhfe+21yy+/3Lqtym3209LSenp6rGVZSE9Pj9tgmKdBPX8AANAnPeXYlDgvvvjiN99801rmEywAAEJJTzk2JU4/HzhxDxYAAClNTzk2Mc642bcf1tfX878IAQBIXXrKsYlxujVY0Wi0qqoq0qumpqbPv4PFPVgAABhFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOOwxwn92ABAGAUPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085DnOc3IMFAIBR9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjU+J89dVXZ86cmZGRkZeXt2DBgoMHDzq3SfamdW5yBwDAKHrKsSlxzp49e/369Z2dncePH1+xYkVZWZlzm4FkRU9GAQAwlp5ybGKcXV1dWVlZzvU0WAAApDQ95di4OE+cOLF69eq5c+c6fyRZGTt2rPReU6dOXbt27enTp/0PqyejAAAYS085NitO62apcePGvf/++27bnDx5csuWLaWlpUuWLEm4u5tBPncAANAHPeXYuDiPHTu2fPnyGTNmeG+2b9++SCTif1g9GQUAwFh6yrGJcUqPNXr0aO9t2tracnNz/Y+pJ6MAABhLTzk2Jc758+e3trb29PTs379/0aJFsfdg2cmoqKhoaWk5deqUbFleXr548WL/4+vJKAAAxtJTjk2Js6mpqaioaOTIkfn5+ZWVlUeOHLF/ZCfD2iYjI6OwsLCurq67u9t7TO7BAgDAKHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaechzmOLkHCwAAo+gpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2GOk5vcAQAwip5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHJsS56uvvjpz5syMjIy8vLwFCxYcPHjQuU00Gq2uro5EIjk5ObW1tfLQe0zuwQIAwCh6yrEpcc6ePXv9+vWdnZ3Hjx9fsWJFWVmZc5uGhobi4uLdvWShsbHR//h6MgoAgLH0lGMT4+zq6srKynKuLykpaW5utpZlobS01P+YejIKAICx9JRj4+I8ceLE6tWr586d6/xRdnZ2R0eHtdze3h6JRPwPqyejAAAYS085NitO62apcePGvf/++86fpqWl9fT0WMuykJ6ennB3N4N+9gAAwJOecmxcnMeOHVu+fPmMGTOcP+ITLAAAUpqecmxinNJjjR492rmee7AAAEhpesqxKXHOnz+/tbW1p6dn//79ixYtir0Hy05GfX09/4sQAIDUpaccmxJnU1NTUVHRyJEj8/PzKysrjxw5Yv/ITkY0Gq2qqor0qqmp4e9gAQCQWvSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSU4zDHyU3uAAAYRU85VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjsMcJ/dgAQBgFD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOTYlzo0bN5aVlWVmZubl5S1cuPDw4cPObZK9p4p7sAAAMIqecmxKnHPmzGlubu7q6jp06FBlZeXcuXOd2wwkK3oyCgCAsfSUYxPjPH78+OjRo53rabAAAEhpesqxiXFu2LBh1qxZzvWSlbFjx2ZlZU2dOnXt2rWnT5/2P6aejAIAYCw95di4OLdt2zZ58uQdO3a4bXDy5MktW7aUlpYuWbIk7kfDPA3yiQMAgD7oKcfBx9nd3b1s2bLCwsLMzEz59+GHH5aWyOe+mzZtKigo2Lx5c59b7tu3LxKJ+D8rPRkFAMBYespx8HEuXry4rKyspaVFOi35d/bs2ffff7+fHdetWzd+/PitW7f62bitrS03N9f/WenJKAAAxtJTjoOPU/oe6X7shz47oTVr1hQUFGzfvt35IzsZFRUV0rGdOnWqtbW1vLxcOjn/Z6UnowAAGEtPOTalwXLeMtXV1WX/yFpoamoqKirKyMgoLCysq6vr7u72f1Z6MgoAgLH0lONB+RVheXn5u+++Kw2Q/CvLPn9FGDhucgcAwCh6yvGg3OReV1d3wQUXZGZmyr8PPfSQ/5vcB4+ejAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOOg4+zpaWltLR01KhRZ/3+J+7BAgDAKHrKcfBxTps2bcWKFR9//HHgIw+EnowCAGAsPeU4+DgzMzNPnDgR+LADpCejAAAYS085Dj7OiRMn7tmzJ/BhB0hPRgEAMJaechx8nE888cTNN9984MCBwEdOFvdgAQBgFD3lOJg4nX+H3bTmxoRzAABAOT3lWE2cajIKAICx9JTj4OM855xzAh9z4PRkFAAAY+kpx8HHef755//nP/8JfNh+MO3XlAAAKKenHAcf5yOPPHLrrbfu3bs3Go3632vjxo1lZWWZmZl5eXkLFy48fPiwcxsZsLq6OhKJ5OTk1NbWJjW+nowCAGAsPeU4+Dj7d5P7nDlzmpubu7q6Dh06VFlZOXfuXOc2DQ0NxcXFu3vJQmNjY1JnlUQMAABgEOgpxybGefz48dGjRzvXl5SUSBNmLctCaWmp/zH1ZBQAAGPpKccmxrlhw4ZZs2Y512dnZ3d0dFjL7e3tkUjE/5h6MgoAgLH0lGPj4ty2bdvkyZN37Njh/FFaWlpPT4+1LAvp6elxGxj+t7gAAFBOTzk2K85NmzYVFBRs3rw54U/5BAsAgJSmpxwbFOe6devGjx+/detWtw24BwsAgJSmpxybEueaNWsKCgq2b9/u/JGdjPr6ev4XIQAAqUtPOTYlTuctU11dXfaPrIVoNFpVVRXpVVNT0+ffweIeLAAAjKKnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdhjpN7sAAAMIqecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyHOU7uwQIAwCh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrFBcfZ5N3qyN61zkzsAAEbRU46Ni9O7wRqMYQEAwNDQU46Ni5MGCwCAsNJTjo2L07vBGjt2bFZW1tSpU9euXXv69OlAhgUAAENDTzk2Ls4+p/7kyZNbtmwpLS1dsmSJc18Pg3bKAADAFz3l2Lg4fU79vn37IpFI4MMCAIDBo6ccGxenz6lva2vLzc0NfFgAADB49JRj4+J0Tr29pqKioqWl5dSpU62treXl5YsXLx7IsAAAYIjpKccGxel2y5S93NTUVFRUlJGRUVhYWFdX193d3b8BAQDAWaGnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdhjpN7sAAAMIqecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaechzmOLnJHQAAo+gpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrFBcfZ5s1Q0Gq2uro5EIjk5ObW1tfLQ54DcgwUAgAn0lGPj4vSY+oaGhuLi4t29ZKGxsTGQYQEAwNDQU46Ni9Nj6ktKSpqbm61lWSgtLQ1kWAAAMDT0lGPj4vSY+uzs7I6ODmu5vb09EokEMiwAABgaesqxcXF6TH1aWlpPT4+1LAvp6enOfT0M4kkDAAAf9JRj4+LkEywAAMJKTzk2Lk7uwQIAIKz0lGPj4nROvb2mvr6e/0UIAEDq0lOODYrT7ZYpezkajVZVVUV61dTU8HewAABILXrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKcZjj5CZ3AACMoqccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2GOk3uwAAAwip5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHJsSZzQara6ujkQiOTk5tbW1Cb/IOdl7qrgHCwAAo+gpx6bE2dDQUFxcvLuXLDQ2Njq3GUhW9GQUAABj6SnHpsRZUlLS3NxsLctCaWmpcxsaLAAAUpqecmxKnNnZ2R0dHdZye3t7JBJxbiNZGTt2bFZW1tSpU9euXXv69Gn/4+vJKAAAxtJTjk2JMy0traenx1qWhfT0dLctT548uWXLltLS0iVLlsT9aJinQTx7AADgg55ybEqcfj7BirVv374+t4mlJ6MAABhLTzk2JU4/92DFamtry83N9T++nowCAGAsPeXYlDjr6+vd/hehnYyKioqWlpZTp061traWl5cvXrzY//h6MgoAgLH0lGNT4oxGo1VVVZFeNTU1sX8Hy05GU1NTUVFRRkZGYWFhXV1dd3e3//H1ZBQAAGPpKcdhjpOb3AEAMIqecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyHOU7uwQIAwCh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnIc5ji5BwsAAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYespxmOMcBgAADHO2u4MhoiXOYA3N9cFROEo4jjJkB+IoHCU0B+IoIaA07AEK00XJUThKaA7EUThKaA7EUUJAadgDFKaLkqNwlNAciKNwlNAciKOEgNKwByhMFyVH4SihORBH4SihORBHCQGlYcOm9tI3HHkxFqkxE3kxltrUKA0bNrWXvuHIi7FIjZnIi7HUpkZp2LCpvfQNR16MRWrMRF6MpTY1SsOGTe2lbzjyYixSYybyYiy1qVEaNmxqL33DkRdjkRozkRdjqU2N0rABAAAGDw0WAABAwGiwAAAAAkaDBQAAEDAaLAAAgIDRYAEAAASMBgsAACBgNFihEo1Gq6urI5FITk5ObW2tPLTW79q16/rrr4/0kgV56H9ft/Xwz20OOzs777zzznPPPXfs2LHLly9Pal/yEpRh/1/sSj/TS2oGVcK8eKy3kZfBljAFGzduLCsry8zMzMvLW7hw4eHDh507aksNDVaoNDQ0FBcX7+4lC42Njdb6kpKSurq6zl5Lly6Vh/73dVsP/9zm8K677qqoqDjY6/bbb3/66af970teghVXLfxML6kZAm6NlEeDRV6GRlwK5syZ09zc3NXVdejQocrKyrlz5zp30ZYaGqxQkc5JLnFrWRZKS0ut5aysrOPHj1vLx44dk4f2LvaTxG1ft/Xwz20Ox4wZIy9G1rL0WNOnT7d3IS9DLK5aeEwvqRlK/hss8jLEPHpcKTejR492bqktNTRYoZKdnd3R0WEtt7e3RyIRa/m22257+OGHjx492tnZuWzZMnlo72Jf+m77uq2Hf25zKA2WPLSWpdOKnVvyMsTiqoXH9JKaodSPBou8DA2PBmvDhg2zZs1ybqktNTRYoZKWltbT02Mty0J6erq1/OGHH06cONH6rbksfPTRR/73dVsP/9zmcP78+fPmzTvU64477hg+fLj/fclLsOKqhZ/pJTVDoB+/IiQvQ8MtBdu2bZs8efKOHTucP9KWGhqsUHF7H1BeXr506VL7Hix56H/fsL63GEpuc3jkyBHpq3JycnJzc1euXHneeef535e8BMv/J1h9bkNqAtSPBou8DI2EKdi0aVNBQcHmzZsT7qItNTRYoeL2m+xRo0a53YPV575h/e34UPIzh48//rg0W/73JS/B8n8PVp/bkJoA9aPBIi9Dw5mCdevWjR8/fuvWrW67aEsNDVao1NfXu/0vwmXLllmfYD344IMJ79h129dtPfxzm8N58+a1tbVJUp5//vn8/Pz33nvP3oW8DLG4auExvaRmKPXjHizyMjTiUrBmzZqCgoLt27d7bKktNTRYoRKNRquqqqy/d1VTU2P/NZGdO3dec801/9fr2muv/eCDD+xd7EvfbV+39fDPbQ6feuopecOXlZU1Z86cbdu2xe5CXobMsP9lrfSYXlIzNBLmxXu9tUBeBlvCFAxz6Orqsn9kLWhLDQ0WAABAwGiwAAAAAkaDBQAAEDAaLAAAgIDRYIWK29dtJvsVm36+ttNjdz/fLd2PswUAIFXQYIWK29dtJvsVm36+ttNjdz/fLd2PswUAIFXQYIVW7NdtDuTPu8V9bWesfny39EDOFgCAVEGDFVqxX7c5kC8oiPvazlj9+G7pgZwtAACpggYrnOK+brPfX7Hp8bWdHrv7+W7pfpwtAACpggYrhJxft9m/T7Cc48T96d5kv1va+ceXkzpbAABSBQ1W2CT8us1+3IPV59d2euzu57ul+3G2AACkChqsUHH7us1kv2LT42s7/Qzr8d3SAzlbAABSBQ1WqLh93WayX7Hp8bWdsfrx3dIDOVsAAFIFDRYAAEDAaLAAAAACRoMFAAAQMBosAACAgNFgAQAABIwGCwAAIGA0WAAAAAGjwQIAAAgYDRYAAEDAaLAAAAACRoMFAAAQMBosAACAgNFgAQAABIwGCwAAIGA0WAAAAAGjwQIAAAgYDRYAAEDAaLAAAAACRoMFAAAQMBosAACAgNFgAQAABIwGCwAAIGA0WAAAAAGjwQIAAAgYDRYAAEDAaLAAAAAC9v8AQFcqV4+8ZAIAAAAASUVORK5CYII=)
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