Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit324-08-20020804_201000_20020805_005500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/04 |
Start Time | | 2002/08/04 20:10 |
End Time | | 2002/08/05 00:53 |
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 | | -17.90 |
Dipole Tilt, in Y-Z GSE plane, deg | | 5.46 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 155.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit324-08-20020804_201000_20020805_005500-constBx0 |
Minimum Dst Value | | -31 |
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 GOES-11 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAU2F0IEphbiAxMiAwNDo1MTozMCBFU1QgMjAxOV/X4XkAAAHMdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzMjQtMDktMjAwMjA4MDVfMDA1NjAwXzIwMDIwODA1XzA1NDEwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdPRVMtMTEgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMDItMDgtMDVUMDA6NTY6MDAuMDAwWiIsICJtYXgiOiIyMDAyLTA4LTA1VDA1OjM5OjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzIyLCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6Mi4yMjQ4NTk5OTk1LCAibWF4Ijo0LjMyMDE0MDAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX1nD+BCAAAABGdBTUEAAK/INwWK6QAAIrNJREFUeJzt3X9wFPX5wHHkV0Ji6UUiNEgCmDKVDqQjowxMAEkMyA+raB0bawGV2rQII/0BBMOPpq3QdgojTitYSjvOFIXYQUYLdJhW2qG1MlCGmhoKiBCiJRAwhKAJMSTfh+x8d7Z3t3t7ySZ8cs/79Udmb7P72X0+z+4+n71s7nq0AgAAIFA9rvcOAAAAJBoGWAAAAAFjgAUAABAwBlgAAAABY4AFAAAQMAZYAAAAAWOABQAAEDAGWAAAAAFjgAUAABAwBlgAAAABY4AFAAAQMAZYAAAAAWOABQAAEDAGWAAAAAFjgAUAABAwBlgAAAABY4AFAAAQMAZYAAAAAWOABQAAEDAGWAAAAAFjgAUAABAwBlgAAAABY4AFAAAQMAZYAAAAAWOABQAAEDAGWAAAAAFjgAUAABAwBlgAAAABY4AFAAAQMAZYAAAAAUvMAVaPHokZFwB0qs64eL711lsjRoyI2XJnbJpagOsoMQ8+t5OKkw0APHTGRXLChAnbt2+/Lpvmmh8gOjNeidlf8d4q7dy5c9KkSUlJSRkZGXPnzq2urrbm7969Oz8/Pzk5WebPmzfv/PnzzrVqamoyMzM9ttXS0rJkyZJQKJSWllZcXCwvrfm1tbVz5sy56aab0tPTV61a5ba629bdmnWbH287J06cuPfee0NtZEJeei/f4395dnzcO+/R+OHDh6dOnZqamjp48ODNmze3r3163ruRqAd51IUD6fnO4LbzN9xww6BBgwoLC6uqqjxWb8f+nzlzZv78+cOGDevTp4+sNW3aNLnCRN2ZsJky8cUvftG5CZkeOXKkcwH7V0eOHHnwwQflMtK3b9877rjj1VdfteZfvHhR9nPEiBH9+vWTrd9///1/+tOfYu5z5M60e4FI/fv3b2xs7Pim26GzxwQeuRbl5eXTp0+/sY1MvPPOO84di3rqxZU+t9M25jWhK4dKmodliRl5vNeIvLw8ucGScc+lS5dKS0ulKFrzp0yZsmvXrvr6+rNnzxYVFc2cOdO5lpxXq1ev9tjWxo0bx4wZ834bmdi0aZM1/7HHHpPLenWbhx9++De/+U3U1d227tas2/x42xk/fnxJSUltm2XLlslL7+XjOn/i3Xm3xo8ePSqF/3e/+91HH31UWVn5yCOPtK99et67EY+DPGxmID3fGSIHWNbE1atXP/zww+9973sTJkzwWD3e/f/ggw+GDh0qzVZUVHzyyScyqn7jjTfuueeeqDsTNlMmZKj0+uuv27967bXXZE7kAOvYsWMyOvz5z38uB7+MXd5+++2vfOUr1q9kW08++aQscOXKlXPnzm3btu2uu+7y3ueoO9PuBdq9SrcbYHnn+vjx4zfffPPatWvPtFm3bp28lJneO9aO9Lk1xQDruutmkcul5Omnnx7URibsuyJJoRy+Q4YMkbtS6+VPf/rTgQMHyu3dU089JUeqvVjr/946RG5CymFKSkrkfBl7paam2i/ljMrOzm5oaPA4eqRASn21pmUiNzfXmh4wYIBUXGtaxlje1/fIrbs16zY/3nYkfFnMmq6rq7N7w235uM6feHferXEZUf3iF7/oePsxJXzPezTifZCHzexgz3/66acrVqzIysoKhUIybrBmepzvGzZskNqWnJw8bty48vJya77c699+++0yU35ljYQiT/aw3b548WK/fv1k4lvf+pbzVmfz5s0yx3v/o3bLE088IYPjqDG6reLct7KyMucmJLpXX301cue/9rWv/fjHP466CQlHgnLbAedGPS6SrS6d733xjHeVyOt21LS6HQZOcsclQ0yJpX///g888EBNTY2fcLw3KgeANCjLS0e1I9ePPvpo2B8oVq5c+fWvfz1sx8L4TJ9TvAOsqCeFMxExO1NuTn70ox8NGzYsLS3t8ccfv3z5sjU/8iyO3JafIj5x4sRXXnnF3mG5i8jIyIi3W0zQzQZYkryCgoKqNnl5eXK8WvMlN/fff7/cj9ovZbEP2sjED37wA3t+2EQYOVDWrFkT9k6VZceOHZMnT7ZfzpgxY8uWLR5Ntba9MW4fmnIvIsecNS0DLHlpTctIy57vwbl1t2bd5sfbzkMPPSQdK0dzbW3t8uXL5aX38tID6enpMhoYNWrU+vXrm5ubPQKJd+fdGpeTUw4GOevkKjBnzhzZ1Y53TlQJ3/MejXgf5GEzO9jzMlyQ/nnvvfc++uijRYsWWTM9zvdZs2adPHlSTtjS0lJ7RCLHw+9//3u5ZMsVed68eVH301kkzpw5s3TpUusdAhlhTJo0adu2bTK9detWmW5qavLe/6jdIvsg9SlqjG6rOK9LslcjRoz4+9//Li/37t0r0zIn8sIlx7/9F+Qw06dPf/jhh//2t7998sknbrvR6uMi6dH5bm3Gu0rkdTtqWt2adcrJyXnzzTclZDl9FixY8I1vfMN/OFE3Kieg9OSHbaZOndqOXEuO5Hh2zpGXn/vc57z7xGf6nDr+DlZYImJ25tq1a+++++73339fzlYZMn73u9+15kc9i8O25aeI//GPfxw5cqQc+dav5Fz+yU9+4rM3jNLNBli33nrru+++a03LrYbcXlvTkptTp07Zi8lLe7F///vfzsXCJpysUbbc0tnv4toOHTo0fPhw+1zas2fP2LFjrUclPA7inj17WtdoIRO9evWypmfPni03N2fbyJ1o7969vaMO27pbs27z423Het/b6g2ZsM867/alqh04cEAuT/Z5FVefxNu4LCAnttWHhYWFjz32WAc7JyoNPe/WSMyDPGxmB3v+85//vP3mgc3jfJexkTX98ccfW29BiczMzOeff/706dMe+9njf8ktuFwirF9VV1dLmoqLi+Wn/SBmvEeOnM7O0hj5VkHkKmG/ffHFF++7777Wtr8W/epXv4pcwNpKQ0ND1B2oq6uTGvalL30pOTlZOvD73/9+1Fv/mBdJj853iz3eVSKv21HT6tasG+mBIUOG+A/HbaNHjhyxpmXFqCF451oOlbAcycL21b5HBHvn/aTPKZABljMRTlE787bbbvvPf/5jTcuZIhcrazrqWRy2LZ9F/M4777Tu7o4dOyY7IKlxi8Vk3WyAJcecfcjKhLy0piU3zidD5aXbYmETYeRgWrVq1cSJE50z5T4yKytr//799pzRo0fv27cvsqmwU8Xt3vfChQsyrpIru9ziPPvss857Gufqbltv31sF/tuR24tly5bZTwLJSz/tWyorK73fHOrI+xzOxmV557uA6enpHW8/jJKed2vE7SC3hc1sx3uTzqPdeWrbPM73qHvyz3/+c9asWQMGDBgxYoT9dz23ha39KSkpsZ+5bG37I44sYP+N0mP/3cjpHPmuhr3RPn36hP2FS+KSMZxzMVkgIyPj5Zdflp/2X9nC2vF4B8sml0QZOc2dOzfqW/IxL5I+O98p3lUir9thv/Vu1kluDySPclG1Dip7HBxvOM7l7Uy5/ZXcO9dyr96Od7BskemLWiA8moprgOVMRMzOlGGoc2hoH8BRz+Kwbfks4jt27PjCF77Q3Nz8yCOPyF2TWyCG62YDLJ93SM6bM5mIXMz6S3NUMsZyPmu1devWwYMHHzx4MKz9qDcfYfw8ffLLX/5SBltuOxN16+142CWuduTkietJIKeqqiq59LuF076dj9r4hAkTnM+x2QOsoJ7B0tPzbo3EPMjD5nSw52VIFNc7WB57IpfpP/zhD3YlCzvZwxaWDrfftDh8+LDcK2/fvv2WW26x38aO98iRilhcXBw2097oyJEj3377beev/vGPfwwbNixssTVr1vTu3dv+s0jkAEsuGqtXr/beE4sM1j/zmc9Ezo95kXTrfI+LZzvewfLz0s87WDLzpZdekntXKcnyM7LH4j2W/LyD5Z1rGRlEPoP16KOPRt2uG7f0Rd2iz/mtsU6KmJ0pQ5+TJ09GNhv1LA7bls9EyFks93iLFy+Ws8N+QLDb6WYDLLndtP98K0Ps5cuXW/MjT5KpU6dajxfIROSjADfffHNFRYW9/OzZs+VlU1PT6dOnFyxYYN8xrF27Nisryz7NovI4iDds2BD1/4/kHJP9lzPnlVdeyczMtN9rDeO2dbdm3ebH245UFOlY632UZ555xq4obssXFhbKeSLngPShZGfhwoUe3RXvzrs1vnnzZvvPrLLM448/3r726Xk/jUQ9yMNmdrDnn3322cmTJ584ccL59Ib/892ORa7dEosMsGRca80MO9md654/f37FihXjxo1rbXv+Ui7of/3rX2X69ddfv/32262//njsf9RuOXXqlGza/s8yCeeNN96wl5QbKtnKX/7yl7o2e/fuHTVq1M9+9jOPBlujDbCOHTsmI8h169ZJzzQ2Nu7fv9/+L8K77rpr27ZtctchFzTZ56KiounTp0dt0/si6db5Yf3p5DNfbh3o9tKtWSfpjddee026Qg4h6YrIHov3WJLl7Wew7rnnnnbkWi7scuMnObL/i1Be2u94ufWJz/R59FvM+a2eJ0Wrj8587rnnpDOlBTnX3nnnna9+9avW/Khncdi2/B8kcncqM3/961/7DMpA3WlfW9veUZQCYP0DgkzY7zRGniTWP8ikpaV9+9vfdv6fgjUhlS8UCtkvy8rKcnJy+vbtK8MdOaBlzG4vH6a+vj5slzzyLWNwGYBbH2u0dOlS+/1PGRzIaZmSkjJlypRDhw65re62dbdm3ebH245cu6dNm/bZNnJu2+9yuy1v9V5SUpLci8jJ4/ZoiHcj7WhcSoJcsCTFMj62H3KPt3163k8jkeeXUyA9L+VExpRDhgyRhEopsmb6P9+tCbljkXvr5ORkGR69+eab1sywk9255zfddNN9991n9fOcOXOsB54ssg/WqN1j/93O/crKyieeeELO8d69ew8YMOCBBx5466237N747W9/e8cdd1hZlomXXnopZoORFa617X88pWXZK7lw3XnnnfbnYP35z3+W+dKN0g/Dhw9/6qmn7AtaWJveF0m3zg/rTyef+XKL1+2lW7NOO3fulNT36dNHbmmef/75yB6L91iSBb75zW9K50gX/fCHP5SWo4bgkWvxr3/9S87o1DYySjt8+LBzQ1HPI5/pi9pIzPm2yJMirs68evWqzL/tttvkuiE3DDt27LDmRz2Lw7bl/yCRQ3rEiBGffvppWMhuvWGg7rSvAIBAdK9CdX3JOEnGOtd7L66z5ubmmP+PFawvf/nLL7/8clduMXCcYwCgDgOsmBYtWnTmzJlTp07dfffd3/nOd6737lxnBw4csP9bsLNdvXr1xRdfHD16tP1JDd0U5xg6ReQb4AZe0LvFTsYrIYNC4DgqYnruueeGDBkycODAJ598spt+TECAbrzxxhdeeKFrtiUH57Bhw2RI1zWb6zycYwAAAAFjgAUAABAwBlgAAAABY4AFAAAQMAZYAAAAAWOABQAAEDAtA6yo/7sOAAC62PUeEXQRNXGqySgAAMbSU44TOU6dQ2YAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxwncpx80CgAAEbRU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU44TOU4+aBQAAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxWXHW1NRkZma69X5LS8uSJUtCoVBaWlpxcbG89N+ynowCAGAsPeXYrDjnz5+/evVqt97fuHHjmDFj3m8jE5s2bfLfsp6MAgBgLD3l2KA4KyoqsrOzGxoa3Hp//Pjxu3btsqZlIjc313/jejIKAICx9JRjg+KcMWPGli1bWt17v3///jU1Ndb0uXPnQqGQ/8b1ZBQAAGPpKcemxLlnz56xY8daj1W59X7Pnj2bmpqsaZno1atX2AI9PHXq/gMAgJj0lGNT4hw9evS+ffusad7BAgAgIekpx6bE6ecNJ57BAgCgW9NTjk2MM6z37ZcbNmzgvwgBAOi+9JRjE+N0G2C1tLQsXrw41Gbp0qV8DhYAAN2LnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKcyHHyQaMAABhFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlO5Dj5oFEAAIyipxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxwncpx80CgAAEbRU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JTjRI6Tz8ECAMAoesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxKXHu3Llz0qRJSUlJGRkZc+fOra6ujlymIw+t68koAADG0lOOTYkzLy9v+/bttbW1ly5dKi0tzc/Pj1ymI1nRk1EAAIylpxybGGd9fX1KSkrkfAZYAAB0a3rKsXFxXr58ec2aNTNnzoz8lWQlPT1dxl6jRo1av359c3Oz/2b1ZBQAAGPpKcdmxWk9XDVw4MDjx4+7LdPY2HjgwIHc3NxFixZFXd1NJ+87AACIQU85Ni7Ourq6VatWTZw40XuxysrKUCjkv1k9GQUAwFh6yrGJccoYKzU11XuZqqqqQYMG+W9TT0YBADCWnnJsSpyzZ8+uqKhoamo6ffr0ggULnM9g2ckoLCwsLy+/cuWKLFlQULBw4UL/7evJKAAAxtJTjk2Js6ysLCcnp2/fvpmZmUVFRRcuXLB/ZSfDWiYpKSk7O7ukpKShocF/+3oyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSU40SOkw8aBQDAKHrKsZo41WQUAABj6SnHwcfZ0NCwfPny7Ozs5ORk+bly5crGxsbAtxIvPRkFAMBYespx8HEuXLgwPz+/vLxcRlryMy8v7+mnnw58K/HSk1EAAIylpxwHH+egQYOqqqrsl/F+p00n0ZNRAACMpaccM8ACAABdRE857pQ/ERYUFLz77rsNDQ3yU6b5EyEAAGjVVI475SH3kpKSW2+9NTk5WX6uWLGCh9wBAECrpnKsJk41GQUAwFh6ynEix8kHjQIAYBQ95Tj4OMvLy3Nzc/v162fU4MaEfQAAQDk95Tj4OMeNG1daWvrxxx8H3nJH6MkoAADG0lOOg48zOTn58uXLgTfbQXoyCgCAsfSU4+DjHDp06MmTJwNvtoP0ZBQAAGPpKcfBx/nCCy/MmjXrzJkzgbfcEXoyCgCAsfSU42Di7BFLIFvp4B5e710AAEA7PeVYTZxqMgoAgLH0lOPg47zhhhsCb7N9THsXDQAA5fSU4+DjvOWWW/773/8G3mwH6ckoAADG0lOOg49z3bp1Dz744KlTp1paWgJvvN30ZBQAAGPpKcfBx8lD7gAAICo95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSU40SO07T/ZAQAQDk95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95diUOHfu3Dlp0qSkpKSMjIy5c+dWV1dHLtPS0rJkyZJQKJSWllZcXBzXdx3qySgAAMbSU45NiTMvL2/79u21tbWXLl0qLS3Nz8+PXGbjxo1jxox5v41MbNq0yX/7ejIKAICx9JRjE+Osr69PSUmJnD9+/Phdu3ZZ0zKRm5vrv009GQUAwFh6yrFxcV6+fHnNmjUzZ86M/FX//v1ramqs6XPnzoVCIf/N6skoAADG0lOOzYrT+kTQgQMHHj9+PPK3PXv2bGpqsqZlolevXlFXd9Ppew8AADzpKcfGxVlXV7dq1aqJEydG/op3sAAA6Nb0lGMT45QxVmpqauR8nsECAKBb01OOTYlz9uzZFRUVTU1Np0+fXrBggfMZLDsZGzZs4L8IAQDovvSUY1PiLCsry8nJ6du3b2ZmZlFR0YULF+xf2cloaWlZvHhxqM3SpUv5HCwAALoXPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeU4kePkg0YBADCKnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccJ3KcfA4WAABG0VOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOOEzlOPmgUAACj6CnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHiRwnHzQKAIBR9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3l2JQ4d+/enZ+fn5ycnJGRMW/evPPnz0cu05FnqvRkFAAAY+kpx6bEOWXKlF27dtXX1589e7aoqGjmzJmRy3QkK3oyCgCAsfSUYxPjvHTpUmpqauR8BlgAAHRresqxiXHu2LFj8uTJkfMlK+np6SkpKaNGjVq/fn1zc7P/NvVkFAAAY+kpx8bFeejQoeHDhx89etRtgcbGxgMHDuTm5i5atCjsVz08dfKOAwCAGPSUY7Pi3Lt3b1ZW1v79+2MuWVlZGQqF/LesJ6MAABhLTzk2KM6tW7cOHjz44MGDfhauqqoaNGiQ/8b1ZBQAAGPpKcemxLl27dqsrKwjR45E/spORmFhYXl5+ZUrVyoqKgoKChYuXOi/fT0ZBQDAWHrKsSlxRj4yVV9fb//KmigrK8vJyUlKSsrOzi4pKWloaIir/eB3GgAAxENPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOU7kOPmgUQAAjKKnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHCdynHzQKAAARtFTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZwAAMAA13tE0EW0xOmta/LNVthKwmyIrbCVxNhKl22IrShEN12TSAclW9G8lS7bEFthK4mxlS7bEFtRiG66JpEOSraieStdtiG2wlYSYytdtiG2ohDddE0iHZRsRfNWumxDbIWtJMZWumxDbEUhuukaDhczkRdjkRozkRdjkRqFSPk1HPpmIi/GIjVmIi/GIjUKkfJrOPTNRF6MRWrMRF6MRWoUIuXXcOibibwYi9SYibwYi9QoRMqv4dA3E3kxFqkxE3kxFqlRiJQDAAAEjAEWAABAwBhgAQAABIwBFgAAQMAYYAEAAASMARYAAEDAGGABAAAELAEHWC0tLUuWLAmFQmlpacXFxfLS/lWP/xfvuh5twie3Pty9e3d+fn5ycnJGRsa8efPOnz/vf13yEgi3bty5c+ekSZOSkpIkNXPnzq2urva/LqnpOO8+rKmpyczMdLuakZdO5daNPf5XXOuSmsSTgAOsjRs3jhkz5v02MrFp06awBTwGWG7rxmwTMbn14ZQpU3bt2lVfX3/27NmioqKZM2f6X5e8BMKtG/Py8rZv315bW3vp0qXS0lIZB/tfl9R0nHcfzp8/f/Xq1W5XM/LSqdy60c+niZIaPRJwgDV+/Hgp2Na0TOTm5oYtEHkO2HPc1o3ZJmLy04dSyFNTU+2X5KVr+OlGGQGnpKTYL0lNF/Dow4qKiuzs7IaGhrCrGXnpGm7d6DHAIjUKJeAAq3///jU1Ndb0uXPnQqFQ2AIeAyy3dWO2iZj89OGOHTsmT55svyQvXSNmN16+fHnNmjXONxdJTRfw6MMZM2Zs2bKlNeJqRl66hls3Sv+np6fLrcioUaPWr1/f3Nxsr0JqFErAAVbPnj2bmpqsaZno1atX2AIeNxlu68ZsEzHF7MNDhw4NHz786NGj/tclL4Hw7kbraZKBAwceP37c/7qkpuPc+nDPnj1jx461ntFxu5qRl07l3Y2NjY0HDhzIzc1dtGiR/3VJTeJJwAFWO97Birku9xYd592He/fuzcrK2r9/f1zrkpdAxOzGurq6VatWTZw40f+6pKbj3Ppw9OjR+/bts6bdrmbkpVP56cbKysqo80mNHgk4wGrHM1gx1+Wv4x3n0Ydbt24dPHjwwYMH412XvATCTzfKGMv5eFzMdUlNx3k86BPzv9XIS6fy041VVVWDBg3yvy6pSTwJOMDasGFDvP9FaM9xWzdmm4jJrQ/Xrl2blZV15MiRyFXIS9dw68bZs2dXVFQ0NTWdPn16wYIFUZ/BIjWdx08fuj2DRV46lVs3FhYWlpeXX7lyRU6cgoKChQsX2quQGoUScIDV0tKyePHiUJulS5dG/RyssNs+e9ptXY824ZNbH0bejtfX19u/8l6XvATCrRvLyspycnL69u2bmZlZVFR04cIFexVS0wX89KHbAIu8dCrvUyYpKSk7O7ukpKShocFehdQolIADLAAAgOuLARYAAEDAGGABAAAEjAEWAABAwBJwgOX25cHxfsWmny8h9lj9xIkT9957r/XEokzIy7hW9/OloQAAwEwJWLndvjw43q/Y9PMlxB6rjx8/vqSkpLbNsmXL5GVcqzOoAgCg+0rwKu788uCOfLxb2JcQO7mtnpKSImtZ03V1dc4vyvWzOgMsAAC6rwSv4s4vD+7IFxSEfQmxk9vqDz300MqVKy9evFhbW7t8+XJ5GdfqHl8aCgAADJfIA6ywLw9u91dsenwJscfqH3zwwdChQ60nqGTiww8/jGt1i/eXhgIAADMl7AAr8suD2/cOVmQ7YQ+eu61eUFCwbNky+xkseRnX6k5uXxoKAADMlJgDrKhfHtyOZ7Bifgmxx+r9+vXryDNYTm5fGgoAAMyUgAMsty8PjvcrNj2+hNhPszJyWr58ufUO1jPPPOP21ejt+NJQAABguAQcYLl9eXC8X7Hp8SXETm6rHzt2bNq0aZ9tM3369Pfeey/q3rbjS0MBAIDhEnCABQAAcH0xwAIAAAgYAywAAICAMcACAAAIGAMsAACAgDHAAgAACBgDLAAAgIAxwAIAAAgYAywAAICAMcACAAAIGAMsAACAgDHAAgAACBgDLAAAgIAxwAIAAAgYAywAAICAMcACAAAIGAMsAACAgDHAAgAACBgDLAAAgIAxwAIAAAgYAywAAICAMcACAAAIGAMsAACAgDHAAgAACBgDLAAAgIAxwAIAAAjY/wE0SucrxO2zoAAAAABJRU5ErkJggg==)
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