Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit378-07-20021211_030800_20021211_075300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/11 |
Start Time | | 2002/12/11 03:08 |
End Time | | 2002/12/11 07:51 |
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 | | 32.42 |
Dipole Tilt, in Y-Z GSE plane, deg | | 0.02 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 147.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit378-07-20021211_030800_20021211_075300-constBx0 |
Minimum Dst Value | | -15 |
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-10 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAV2VkIEphbiAwOSAyMDowMzoxMyBFU1QgMjAxOQoqgP4AAAHMdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzNzgtMDgtMjAwMjEyMTFfMDc1NDAwXzIwMDIxMjExXzEyMzkwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdPRVMtMTAgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMDItMTItMTFUMDc6NTQ6MDAuMDAwWiIsICJtYXgiOiIyMDAyLTEyLTExVDEyOjM3OjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzA5LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6MC4wODkzMTQ5OTk1LCAibWF4IjoxLjc2NTM4NTAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX3q0cTkAAAABGdBTUEAAK/INwWK6QAAIBBJREFUeJzt3X1wFeX1wHHkRUK0aQLRiPIqTSsdpJXRDjSoiKBQ39A6NIWCVmppq4y0FRJMgNIWbTuFEWc0WIod/6gIdpTRip1OK+3UWhksY00FpSLEaHkJFhA1EEP4ncnOb2c9+5K99+5z2dzn+/mD2bvs7rN7zu6eszc3uT1OAgAAIFE9TvUOAAAAFBoaLAAAgITRYAEAACSMBgsAACBhNFgAAAAJo8ECAABIGA0WAABAwmiwAAAAEkaDBQAAkDAaLAAAgITRYAEAACSMBgsAACBhNFgAAAAJo8ECAABIGA0WAABAwmiwAAAAEkaDBQAAkDAaLAAAgITRYAEAACSMBgsAACBhNFgAAAAJo8ECAABIGA0WAABAwmiwAAAAEkaDBQAAkDAaLAAAgITRYAEAACSMBgsAACBhNFgAAAAJo8ECAABIWLdvsHr06PaHAAD5Z+Lm+eKLL1ZWVna5ZRNDUwuQNt3+jAy7qLjYACCCiZvk+PHjn3zyyVMyNPf8BBHMRHT7IGb6qPTss89edtllffv2HThw4C233LJv3z53Ma+SkhJn/q5du6699trSTjIhLwNH6ejoWLhwoSxTVlZWW1srLzNa/bnnnps4cWJRUZHs1Zw5cw4ePBi92bD5YdvxHmCcccOWj5gfPyZhoVbz1dZaWloGDx7snZ9pcAIVZOQzHTTsojh06NDs2bP79+9fXl6+dOlSdzuJRN4EdbxuEE477bSKiorq6urm5uaI1bPY/717937ve98bNmxYnz59ZK0pU6ZIMAN3Rs2Uic9//vPeIWR65MiR3gXc/9qxY8dNN90kiTj99NMvvvjiJ554wpl/+PBh2c/Kysp+/frJ6DfccMOf/vSnLvfZvzNZL+Anl/OxY8dyHzoLpnuCiFyLxsbGqVOnntlJJl599VXvjgXe3DJKX+AVHeeMNR2WUzVWt9Dtw5HpPeKKK66QByypHO+///6yZcuk3vhXWbly5d133+1Mjxs3rq6u7lCnRYsWycvAUVavXj1mzJi3OsnEmjVrMlp98uTJmzZtOnr06P79++fOnXvNNddEbzZsfth2wqKR6fJdzo8TEy9vqKO3Kbe2e++917tMpsEJVJCRz3TQsIvi1ltvlaZkX6fp06c/8sgj2QUnb/wNljNx4sSJd99994c//OH48eMjVs90/995552hQ4fKZrdv3/7RRx9Jw/rMM89cffXVgTujZsqEtEpPP/20+19PPfWUzPE3WDt37pTu8Je//GVTU5P0Li+99NJXv/pV579krNtvv10WOH78+IEDB9avX3/55ZdH73PgzmS9QNardLsGKzrX//nPf84666wVK1bs7SS3NXkpM6N3LIv0qU3FOWNpsE6h9IZDbiV33XVXRSeZcJ+KJIVy+g4aNEieSp2XP//5z88++2x5vLvjjjvkTHUXO/nJRwf/EFJpiouL1UzZwvDhw+Vycl7KAlJ1nOkjR474l3dI5ySly5mWiaqqqoxW95LlzzjjjOjNhs0P244r4gLIaPk4F1KXO6lCHbFNuamNGDGitbXVu0wuwQlUMJHPetCTn7woBgwYIK2YMy09ltud5Bj5jz/+ePHixUOGDJEnb+kbnJkR13tDQ4PUtqKiorFjxzY2Njrz5Vn/oosukpnyX05d8V/s6vAPHz7cr18/mfjOd77jNoti7dq1Mid6/wMjedttt8lTU+Axhq3i3bcNGzZ4h5Cje+KJJ/w7P2PGjJ/+9KeBQ8jhyEGF7YB30Iib5MmQ4EffPDNdxX/fDkxr2Gng9cYbb0iLKcdSUlJy4403trS0xDmc6EHlBJANyvISqCxyPXPmTO9bvGLJkiXf+MY31I4pMdPnpTbV5RUXeFF4E9FlMOXh5Cc/+cmwYcPKysq++c1vfvDBB858/1XsHytOEb/00kvXrVvn7rA8RQwcODDTsKRWehssSd6kSZOaO8kTtpyvznzJzQ033CDPo+5LWeydTjLxox/9yJ2vJhQ5Ue677z7/Owdys5bTyH158803y9CSb3m+r6+vl5eBW5Oz0z015VlEzrmMVvfauHHjhAkTojcbNj9sO66IipvR8nHKfJc7qUIt2ywvL5fqPmrUqFWrVrW3t7v/9ZWvfOW3v/2tGjeX4AQqmMhnPai6KKTBkmN0pqXT6jIIMSMv7YIM/eabb/7vf/+bP3++MzPiep82bdru3btl35YtW+aWELkL/+53v5NbttyR58yZE3i83iKxd+/empoa5x0C6TAuu+yy9evXy/Tjjz8u021tbdH7HxhJ2QepT4HHGLaK974ke1VZWfn3v/9dXm7evFmmZY7/xiXFKeyjBVOnTp0+ffoLL7zw0Ucfhe3GyRg3yYjgh20z01X89+3AtIZt1mv06NHPP/+8HLLcV++8885vfetb8Q8ncFC5M0sk3+101VVXZZFryZGcz9458vKcc86JjknM9HmpTcW54vwXhTcRXQZzxYoVV1555VtvvSVXq7SMP/jBD5z5gVexGitOEf/DH/4wcuRIOfOd/5Jr+Wc/+1nMaKRfehus888//7XXXnOm5VFjxIgRzrTkZs+ePe5i8tJd7N///rd3MTXh5XTZ8kjnvovrkDR/9rOf3b59uzvHeWfYWV4m3PNS6dmzp3OPFjLRq1evjFZ3bdu2bfjw4e6VHLbZsPlh2/EeeJxxu1w+TpmP3kl/qB1SMrdu3Sr3Pvei/eMf//ilL33J+XiBd9ysgxOokCKf3aD+i2LWrFnyaL6/04wZM3r37u3MzzHyn/nMZ9w3D1wR17v0Rs70hx9+6LwFJQYPHvzAAw+8/fbbEcfb45PkEVxuEc5/7du3TyJQW1sr/7qfOcv0zJGAeEuj/60C/yrqfx9++OHrr7/+ZOdPi371q1/5F3BGaW1tDdyBI0eOSA37whe+UFRUJAG8++67Ax/9u7xJRgQ/7NgzXcV/3w5Ma9hmw0gEBg0aFP9wwgbdsWOHMy0rBh5CdK7lVFE5koXd66WHj7vzcdLnpfYtzhnrvyi8ifAKDOYFF1zw+uuvO9NypUgVc6YDr2I1VswifskllzjPzzt37pQdkNQE7l53lN4GS84595SVCXnpTEtuvB/lk5dhi6kJRU6mpUuXXnrppd6Z8jh73XXXeedIA75o0SL3Q1Ty0t2s91IJe5KIubpDnmKHDBmyZcsWd052bxX4t+MNl39mpstHzPeK3kl/qL2amprc5S+88MK//e1v/nETfAerwCKf9aDqonjvvfekr5K+RB7Qly9f7j6RZxocdbZ7L21XxPUeeET//Oc/p02bNmDAgMrKSvenJGELO/tTV1fn/cylPE/LAu7PKCP2P4wEJKIz7tOnj/oJlxyXVETvYrLAwIEDH3vsMfnX/Smb2k7EO1guuSVK53TLLbf435I/GeMmGTP4Xpmu4r9vq/+N3qyXPIBJHuW0dE4qt6vI9HC8y7uZUp9DcEXnWh5LsngHy+VPX2CB8G8qu3ewvInoMpjShnpbQ/cEDryK1Vgxi/jGjRs/97nPtbe3f/3rX5enJv8hdF/pbbBiPiF5H85kwr+Y85PmQFJO1MdQvvjFL77wwgveOXJ65fIZrJirn+xsOM4999yXX345zmYjfvQeuB2X/4rNdPno+XF23uEPtVdzc7PUFXeswOe/pD6DVXiRz3rQk0EXhePBBx+UZsuZzjHy0hJl9A5WxBHJbfr3v/+9W8nUxa4WlivRfdPilVdekWflJ5988rzzznPfscv0zJGKWFtbq2a6g44cOfKll17y/tc//vGPYcOGqcXuu+++3r17uz8W8TdYEvZ77703ek8c8hT3qU99yj+/y5tkWPAjbp5ZvIMV52Wcd7Bk5qOPPirdv5Rk+dcfsUzPpTjvYEXnWjoD/2ewZs6cGThumLD0BY7oiHPGRl8UXQZTWp/du3f7Nxt4FauxYiZCrmJ5il6wYIFcHe4HBAtDehssedx0f3wrLXZ9fb0z33+RXHXVVc7HC2TC/1GAs846y/tzqFmzZsnLtra2t99++8477/Q+8D377LNf/vKX1W7IGSxDO29B3XPPPWH33IaGhrDfIoyz+ooVK4YMGeJe5F1uNmx+2Ha84YozbtjyXc6Ps/MnQ0JdXV0tF6FcYJIgSf28efOix800OIEKMvKZDhp2UUiFkKtPTt1169YNHjzY/UlBjpFfvnz5hAkTdu3a5f30Rvzr3ZmQs0Xu3XK2SIMlLaMzU13s3nUPHjy4ePHisWPHnuz8qJnc0P/617/K9NNPP33RRRc5P/2J2P/AsO/Zs0eGdn+zTA7nmWeecZeUllRG+ctf/nKk0+bNm0eNGvWLX/wiYoPe+e7Ezp07pYNcuXKlRObYsWNbtmxxf4vw8ssvX79+/b59+yR3ss9z586dOnVq4Dajb5JhwVfx9IqZr7AAhr0M26yXROOpp56SUMgpJKHwRyzTc0mWdz+DdfXVV2eRa7k0ysvLJUfubxHKS/cdr7CYxExfRNziXHERF8XJGMG8//77JZiyBbnWXn311a997WvO/MCrWI0V/ySRBz+Z+etf/zriYLuj9B5Aa2urlFjnFxBkwn2n0X+ROL8gU1ZW9t3vftf7ewrOhBSV0tJS9+WGDRtGjx59+umnS8GQE1p6dndT48eP37hxo9oNubtNmTLl053k7FfvA7ukB5cG3Pl7VzU1Ne77nzFX979Jc/To0YjNhs0P247/v7JbPmJ+/JiEhdpJTd++feVBR67MwM+deEfMNDj2RD7TQcMuirVr10pRKS4unjx58rZt25KKvJQTedgYNGiQXLNSipyZ8a93Z0J6Pnm2Lioqkvbo+eefd2aqi917pP3797/++uudC3D27NnOB54csg/OL1tE7H9YwJuamm677TaJUu/evQcMGHDjjTe++OKLbjR+85vfXHzxxc7lLxOPPvpolxvs4atwJzt/i1a2LHslObrkkkvcv4P15z//WeZLGCUOw4cPv+OOO7w3NO82o2+SYcFX8fSKma+w4w17GbZZL3k8k9T36dNHnhYeeOABf8QyPZdkgW9/+9sSHAnRj3/8Y9ly4CFE5Fr861//klv9GZ2kS3vllVe8AwVejzHTF7gRZ2acK85/UWQUzBMnTsj8Cy64QO7M8sDg3rcDr2I1VvyTRE7pysrKjz/+WB1yWDS6i25/AACACAVQqPJG+iTpdU71Xpxi7e3t7if08+O666577LHH8jlifnDhAUAho8Hq0vz58/fu3btnz54rr7zy+9///qnenVNs69at7m8LmnbixImHH374wgsvdP9SQyHhwkOu/G+Ap/CG3i12MlMFeVBIHGdFl+6///5BgwadffbZt99+eyH9mYDsnHnmmQ899FB+xpKTc9iwYdLS5We4POPCAwAASBgNFgAAQMJosAAAABJGgwUAAJAwGiwAAICE0WABAAAkzJYGK/AX2gEAQFJOdalPF1vCQeIBADCHOqvYEg4SDwCAOdRZxZZwkHgAAMyhziq2hIPEAwBgDnVWsSUcJB4AAHOos4ot4SDxAACYQ51VbAkHiQcAwBzqrFLI4eDvcwAAkB/UWcWWcJB4AADMoc4qtoSDxAMAYA51VrElHCQeAABzqLOKLeEg8QAAmEOdVWwJB4kHAMAc6qxiSzhIPAAA5lBnFVvCQeIBADCHOqvYEg4SDwCAOdRZxZZwkHgAAMyhziq2hIPEAwBgDnVWKeRw8FU5AADkB3VWsSUcJB4AAHOos4ot4SDxAACYQ51VbAkHiQcAwBzqrGJLOEg8AADmUGcVW8JB4gEAMIc6q6QoHF3+ul8uvxVI4gEAMIc6q6QuHNENlonNAgCAHFFnldSFgwYLAIBuhzqrpC4c0Q1WeXl5cXHxqFGjVq1a1d7enshmAQBAjqizSurC0WWGjh07tnXr1qqqqvnz5/vXjWBslwEAsB11VkldOGJmqKmpqbS0NPHNAgCALFBnldSFI2aGmpubKyoqEt8sAADIAnVWSV04/Bly51RXVzc2Nh4/fnz79u2TJk2aN29eLpsFAABJoc4qKQpH2Eem3OkNGzaMHj26b9++I0aMqKura21tzWjjCe8uAAD4f9RZxZZwkHgAAMyhziq2hIPEAwBgDnVWsSUcJB4AAHOos4ot4SDxAACYQ51VbAkHiQcAwBzqrGJLOEg8AADmUGeVQg4HX5UDAEB+UGcVW8JB4gEAMIc6q9gSDhIPAIA51FnFlnCQeAAAzKHOKraEg8QDAGAOdVaxJRwkHgAAc6izii3hIPEAAJhDnVVsCQeJBwDAHOqsYks4SDwAAOZQZxVbwkHiAQAwhzqr2BIOEg8AgDnUWaWQw8FX5QAAkB/UWcWWcJB4AADMoc4qtoSDxAMAYA51VrElHCQeAABzqLOKLeEg8QAAmEOdVWwJB4kHAMAc6qxiSzhIPAAA5lBnFVvCQeIBADCHOqvYEg4SDwCAOdRZxZZwkHgAAMyhziq2hIPEAwBgDnVWKeRw8FU5AADkB3VWsSUcJB4AAHOos4ot4SDxAACYQ51VbAkHiQcAwBzqrGJLOEg8AADmUGcVW8JB4gEAMIc6q9gSDhIPAIA51FnFlnCQeAAAzKHOKraEg8QDAGAOdVaxJRwkHgAAc6izii3hIPEAAJhDnVUKORx8VQ4AAPlBnVVsCQeJBwDAHOqsYks4SDwAAOZQZxVbwkHiAQAwhzqr2BIOEg8AgDnUWcWWcJB4AADMoc4qtoSDxAMAYA51VklROLr8ewodHR0LFy4sLS0tKyurra2VlxltPIl9BAAAAaizSurCEZGh1atXjxkz5q1OMrFmzZpENgsAAHJEnVVSF46IDI0bN27Tpk3OtExUVVUlslkAAJAj6qySfDhaW1vr6+tHjBhRVFQk/y5ZsuTYsWMZ7FB4hkpKSlpaWpzpAwcOlJaWJrJZAACQI+qsknw45s2bN3HixMbGRum05N8rrrjirrvuymCHwjPUs2fPtrY2Z1omevXq5V83QhbHAgAA4qDOKsmHo6Kiorm52X0p0zIngx3iHSwAALob6qzSnRosPoMFAEA6UWcVIz8inDRp0muvvdba2ir/ynSOPyJ05zQ0NPBbhAAApBB1VjHyIfe6urrzzz+/qKhI/l28eHHMD7mHfWTKne7o6FiwYEFpp5qaGv4OFgAAKUGdVWwJB4kHAMAc6qxiSzhIPAAA5lBnleTD0djYWFVV1a9fv1T9iYQ07AMAAIWKOqskH46xY8cuW7bsww8/THzLuSDxAACYQ51Vkg9HUVHRBx98kPhmc0TiAQAwhzqrJB+OoUOH7t69O/HN5ojEAwBgDnVWST4cDz300LRp0/bu3Zv4ljPFV+UAAJAf1FklmXBEfwlgGoKehn0AAKBQUWcVW8JB4gEAMIc6qyQfjtNOOy3xbeaOxAMAYA51Vkk+HOedd95///vfxDebIxIPAIA51Fkl+XCsXLnypptu2rNnT0bfFWgaiQcAwBzqrJJ8OPiQOwAAtqHOKraEg8QDAGAOdVaxJRwkHgAAc6izii3hIPEAAJhDnVVsCQeJBwDAHOqsUsjhSNsH7QEAKFTUWcWWcJB4AADMoc4qtoSDxAMAYA51VrElHCQeAABzqLOKLeEg8QAAmEOdVWwJB4kHAMAc6qxiSzhIPAAA5lBnFVvCQeIBADCHOqvYEg4SDwCAOdRZxZZwkHgAAMyhziq2hIPEAwBgDnVWKeRw8FU5AADkB3VWsSUcJB4AAHOos4ot4SDxAACYQ51VbAkHiQcAwBzqrGJLOEg8AADmUGcVW8JB4gEAMIc6q9gSDhIPAIA51FnFlnCQeAAAzKHOKraEg8QDAGAOdVaxJRwkHgAAc6izii3hIPEAAJhDnVUKORx8VQ4AAPlBnVVsCQeJBwDAHOqsYks4SDwAAOZQZxVbwkHiAQAwhzqr2BIOEg8AgDnUWcWWcJB4AADMoc4qtoSDxAMAYA51VklLODo6OhYuXFhaWlpWVlZbWysv/cvk8mcXSDwAAOZQZ5W0hGP16tVjxox5q5NMrFmzxr9MLskj8QAAmEOdVdISjnHjxm3atMmZlomqqir/MjRYAACkE3VWSUs4SkpKWlpanOkDBw6Ulpb6l5HklZeXFxcXjxo1atWqVe3t7fG3T+IBADCHOqukJRw9e/Zsa2tzpmWiV69eYUseO3Zs69atVVVV8+fPV//VI5LBvQcAwG7UWSUt4YjzDpZXU1NTl8t4kXgAAMyhzippCUecz2B5NTc3V1RUxN8+iQcAwBzqrJKWcDQ0NIT9FqGbs+rq6sbGxuPHj2/fvn3SpEnz5s2Lv30SDwCAOdRZJS3h6OjoWLBgQWmnmpoa79/BcnO2YcOG0aNH9+3bd8SIEXV1da2trfG3T+IBADCHOqvYEg4SDwCAOdRZxZZwkHgAAMyhziq2hIPEAwBgDnVWsSUcJB4AAHOos4ot4SDxAACYQ51VbAkHiQcAwBzqrFLI4eCrcgAAyA/qrGJLOEg8AADmUGcVW8JB4gEAMIc6q9gSDhIPAIA51FnFlnCQeAAAzKHOKraEg8QDAGAOdVaxJRwkHgAAc6izii3hIPEAAJhDnVVsCQeJBwDAHOqsYks4SDwAAOZQZ5VCDgd/yR0AgPygziq2hIPEAwBgDnVWsSUcJB4AAHOos4ot4SDxAACYQ51VbAkHiQcAwBzqrGJLOEg8AADmUGcVW8JB4gEAMIc6q9gSDhIPAIA51FnFlnCQeAAAzKHOKraEg8QDAGAOdVaxJRwkHgAAc6izSiGHg6/KAQAgP6izii3hIPEAAJhDnVVsCQeJBwDAHOqsYks4SDwAAOZQZxVbwkHiAQAwhzqr2BIOEg8AgDnUWcWWcJB4AADMoc4qtoSDxAMAYA51VrElHCQeAABzqLOKLeEg8QAAmEOdVWwJB4kHAMAc6qxSyOHgq3IAAMgP6qxiSzhIPAAA5lBnFVvC0QMAAJh0qkt9uhAOLQ+nSH7OQg4kVUPkZ5TCGCI/o3AgaRuFA0nVEHkbpYARPo1rI1VD5GcUDiRVQ+RnFA4kbaNwIKkaIm+jFDDCp3FtpGqI/IzCgaRqiPyMwoGkbRQOJFVD5G2UAkb4NK6NVA2Rn1E4kFQNkZ9ROJC0jcKBpGqIvI1SwAifximVNmQkVUhH2pCRtCEjcHAeaFwbaUNGUoV0pA0ZSRsyAgfngca1kTZkJFVIR9qQkbQhI3BwHmhcG2lDRlKFdKQNGUkbMgIH54HGtZE2ZCRVSEfakJG0ISNwcB4AAAAkjAYLAAAgYTRYAAAACaPBAgAASBgNFgAAQMJosAAAABJGgwUAAJCwAm+wOjo6Fi5cWFpaWlZWVltbKy+d+bt27br22mtLO8mEvIy/bth8xBEWvUOHDs2ePbt///7l5eVLly7NaF0ykose/887M05ISYchgRmJmO8iI4YERv65556bOHFiUVHRwIED58yZc/DgQf+KZMRyBd5grV69esyYMW91kok1a9Y488eNG1dXV3eo06JFi+Rl/HXD5iOOsOjdeuut1dXV+zpNnz79kUceib8uGcmdKh5xQko6jAprpCIaLDJilIr85MmTN23adPTo0f3798+dO/eaa67xr0JGLFfgDZZ0TnINONMyUVVV5UwXFxe///77zvSRI0fkpbuKexWFrRs2H3GERW/AgAFyn3KmpccaP368uwoZyQNVPCJCSjryI36DRUbyI6K1lWpyxhln+JckI5Yr8AarpKSkpaXFmT5w4EBpaakzffPNNy9ZsuTw4cOHDh2qr6+Xl+4q7rURtm7YfMQRFj1psOSlMy2dljeqZCQPVPGICCnpyI8sGiwyYlREg7Vx48YJEyb4lyQjlivwBqtnz55tbW3OtEz06tXLmX7nnXeGDh3q/FhdJt59993464bNRxxh0Zs1a9bMmTP3d5oxY0bv3r3jr0tGcqeKR5yQkg6jsvgRIRkxKizy27ZtGz58+BtvvOH/LzJiuQJvsMIeFCZNmrRo0SL3M1jyMv66PHzkIix67733nvRVZWVlFRUVy5cvP+ecc+KvS0ZyF/8drC6XIR2JyKLBIiNGBUZ+8+bNQ4YM2bJlS+AqZMRyBd5ghf2ou1+/fmGfwepyXX58nos40XvwwQel2Yq/LhnJXfzPYHW5DOlIRBYNFhkxyh/5xx9//Nxzz3355ZfDViEjlivwBquhoSHstwjr6+udd7DuueeewM/whq0bNh9xhEVv5syZzc3Nko5169YNHjz49ddfd1chI3mgikdESElHfmTxGSwyYpSK/IoVK4YMGbJjx46IJcmI5Qq8wero6FiwYIHz965qamrcPzeyc+fOKVOmfLrT1KlT33zzTXcV99oIWzdsPuIIi97atWvlWbC4uHjy5Mnbtm3zrkJGjOrxSc7MiJCSDtMCMxI935kgI4YERr6Hz9GjR93/cibIiOUKvMECAADIPxosAACAhNFgAQAAJIwGCwAAIGEF3mCFfR9npt/BGed7PR1Zfy1oxOoR8wEAQAoVeMEO+z7OTL+DM873enqpTijH1bucDwAAUsWigu39Ps5c/v6b+l7PQBGdUC6r02ABANAtWFSwvd/Hmcs3GKjv9QwU/2tBM1qdBgsAgG7BloKtvo8z6+/gjPheT68svhY0zuo0WAAAdAtWFGz/93Fm9w6WfzsRn0mPsxsZrR4xHwAApErhF+zA7+PM4jNYXX6vp5e/E8px9ej5AAAgVQq8YId9H2em38EZ8b2egeJ/LWic1bucDwAAUqXAC3bY93Fm+h2cEd/rGT1iIqtHzAcAAClEqQYAAEgYDRYAAEDCaLAAAAASRoMFAACQMBosAACAhNFgAQAAJIwGCwAAIGE0WAAAAAmjwQIAAEgYDRYAAEDCaLAAAAASRoMFAACQMBosAACAhNFgAQAAJIwGCwAAIGE0WAAAAAmjwQIAAEgYDRYAAEDCaLAAAAASRoMFAACQMBosAACAhNFgAQAAJIwGCwAAIGE0WAAAAAmjwQIAAEgYDRYAAEDC/g/wswwiB+bvngAAAABJRU5ErkJggg==)
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