Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit310-07-20020702_073200_20020702_122000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/02 |
Start Time | | 2002/07/02 07:32 |
End Time | | 2002/07/02 12:18 |
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 | | -21.54 |
Dipole Tilt, in Y-Z GSE plane, deg | | 15.38 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 153.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit310-07-20020702_073200_20020702_122000-constBx0 |
Minimum Dst Value | | -6 |
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-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUARnJpIEZlYiAxNSAxODoxNjowNyBFU1QgMjAxObcWKFIAAAHOdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzMTAtMDgtMjAwMjA3MDJfMTIyMTAwXzIwMDIwNzAyXzE3MDkwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItNCB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0wNy0wMlQxMjoyMTowMC4wMDBaIiwgIm1heCI6IjIwMDItMDctMDJUMTc6MDc6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MDksICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjoyLjE1Mzg0OTk5OTUsICJtYXgiOjQuMTU2OTUwMDAwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfbYtJWoAAAAEZ0FNQQAAr8g3BYrpAAAhw0lEQVR4nO3df3AU9f34ceRXQtLmc4GUNEgiMcVKB1JllAEDSCKgQlG0HRuLgEptWoSRtvyIDUjTVmg7hRGnBSylHWeKQuxgRkvoMFbagVoZKGObGgqoENASCBhJ0IQI4fua7Hx3ru/9cXvJvsPe7fPxR2Zvb+/93nu9dvf1usvl0usKAAAAfNXrau8AAABAsqHBAgAA8BkNFgAAgM9osAAAAHxGgwUAAOAzGiwAAACf0WABAAD4jAYLAADAZzRYAAAAPqPBAgAA8BkNFgAAgM9osAAAAHxGgwUAAOAzGiwAAACf0WABAAD4jAYLAADAZzRYAAAAPqPBAgAA8BkNFgAAgM9osAAAAHxGgwUAAOAzGiwAAACf0WABAAD4jAYLAADAZzRYAAAAPqPBAgAA8BkNFgAAgM9osAAAAHxGgwUAAOAzGiwAAACfJXyD1atXwj8FAOh5Oi6eb7zxxvDhw2OOrGPqq1ULqEFwkvBHhtPBzUEPAC50XCTHjx+/ffv2qzI1DZaPkvJJ9byED2K8L5V27NgxceLElJSUnJycuXPnNjQ0RG9piN6+o6Nj6dKlkUgkMzOzvLxcbtrO4rTZu++++5WvfCXSSRbkpu3Dd+7cWVJSkpqaKns1b968s2fPug/rtD7ecXr9r4yMjK6N7xJ8a0idBnEZPK7UeExZCCMf76RNTU1z5swZOHBgVlbWypUr/Y28Dk7P95prrsnOzi4tLT158qTLw7uw/6dOnZo/f/6wYcP69esnj7rrrrvkCmO7M8pKWfjSl74UPYUsjxgxInoD865Dhw7df//9koj+/fvfcsstL730krH+o48+kv0cPnz4gAEDZPZ77733tddei7nP1p3p8gZWclC1tbV1f+ou0N0TOGWha/P6uLeNjY25ublBeK+BtkyR8OGI9xpRXFwsL7CkcjQ3N1dWVkrRct9+48aNo0ePfq+TLGzatMl2FqfNxo0bV1FR0dTpySeflJu2D58yZUpNTU1LS8vp06fLysqmT5/uPqzT+njHibZ27drFixd3bXx3SkidBok5uMfUeExZ1yKW0JGPd9KHH35YmpKGTg888MBvf/vbrgWnx1gbLGPh8uXLH3zwwfe///3x48e7PDze/X///fevu+46Gbauru6TTz6RrvfVV1+98847bXdGWSkLUqRfeeUV866XX35Z1lgbrCNHjkh3+Itf/KK+vl56lzfffPOrX/2qcZfM9dhjj8kGFy9ePHPmzLZt226//Xb3fbbdmS5v0OWHJFyD5ZKFq95gSYu/atUqGqwACm445CB+4oknsjvJgvmqSFIotWHo0KHyqtS4+bOf/Wzw4MHywuLxxx+XC4252ZX/fclunULKVVpamrJS2VJaIilsxrIsFBUV2e6t02YyvnRyxvL58+et01nJ9unp6e7DetkrL+OYJG75+flSMLo2vjuXs85pENv1HlPjMWXukyZ35D1OOmjQIOnnjGXpsczupJuR//TTT1esWJGXlxeJRKRiGStdzvcNGzZIH5Oamjp27Nja2lpj/WuvvXbzzTfLSrnL6ISsJ7vy9D/66KMBAwbIwre//W2zWRSbN2+WNe77bxvJRx99VF412T5Hp4dE71tVVVX0FPLsXnrpJevOf+Mb3/jJT35iO4U8HXlSTjsQPanLRfKKQ/DdL57xPsR63bZNq9NhEO3w4cPS3MhzycjIuO+++xobG708HfdJ5QCQAWV7CZTt83XJgtPxZt70cqzKa4Af//jHw4YNy8zMfOSRRy5cuGAbNytp7gsKClpbW52ON+tJET1gzGA67Zj1LLbO5aWIT5gw4cUXXzR3WPrXnJwcL0d1QghugyXJmzx58slOxcXFTz31lLFecnPvvffK61Hzpmz2fidZ+OEPf2iuVxYUcqCsXr065tskctiZx5y8RpSDyXY0p82+9rWvyZ7L4dLU1LR8+XK5GfOJV1dXT5o0yX1YL3vlZRyTnPZy8sT1rKPHd+fSYDkNYrveY2o8psx90uSOvMdJpcGSm8aydFoxg+Ax8lKoZP/feeedDz/8cNGiRcZKl/N95syZx44dkxO2srLS7EjkKvyHP/xBLtlyRZ43b57t840uEqdOnVq2bJnxBo90GBMnTty2bZssb926VZbb29vd9982krIPUp9sn6PTQ6KvS7JXw4cP/9vf/iY3d+/eLcuyxnrhkuLk9NGCu++++4EHHti7d+8nn3zitBtXPFwkXYLvNGa8D7Fet23T6jRstMLCwtdff12eslxXFyxY8M1vftP707GdVK7MEskPOk2dOtX2KbhkIWaD5eVYXbNmzR133PHee+/JSfHQQw9973vfs42b1bRp07Zs2WId0LobtgPGDKbTjtmexcpcXor4n/70pxEjRsiRb9wl8fnpT3/q9GQTTnAbrOuvv/7tt982luWlhjTpxrLk5vjx4+ZmctPc7N///nf0ZspCNKPLlpd0R48etd4VfbN3797GxVfIQp8+fWz31mkz45cIxnSy4HKeGA4ePJifn29etZ2GjblXHscxyMF9ww03yCsh789aGd+d05nvNIjTeo+p8Zgy90mTOPLeJ509e/asWbNOd5JX8H379nXf3mPkv/CFL5hvHphcznfpjYzljz/+2HgLSuTm5j777LMnTpxweb69/pe8BJdLhHFXQ0ODhLG8vFx+mh/EjPfIkYBEdzbWtwqsD1Hufe655+65554rnb/s+/Wvf23dwJiltbXVdgfOnz8vNezLX/5yamqqBHDx4sW2L/1jXiRdgu/03ON9iPW6bZtWp2GdSASGDh3q/ek4TXro0CFjWR5o+xRcshCzwfJyrN54443/+c9/jGU5IKVYmJtFx02xa9euMWPGGJ/k895gOQ1oG0ynHbM9i5W5PBbxW2+91egRjxw5IjsgqXF6vgknuA2WXDLMA1oW5KaxLLmJ/mSo3HTaTFlQyMG0cuXKCRMmKOs9vk2iXEydNpP+/cknnzQ/gyU3bR9ukFexeXl5+/btizm7+1sF3scxyIv4GTNmeHnWTuO7s02B0yAug+t7BytUkfc+6blz56Svkr5EXr4//fTTn//8592393iyRJ/aJpfz3fYZ/eMf/5g5c+agQYOGDx9u/l7PaWNjfyoqKqI/cymvp2UD83eULvvvRALi8jKgX79+ym+45HlJDxe9mWyQk5PzwgsvyE/zt2zKOC7vnZjkkiid09y5c20/nBfzIukx+NHifYj1uq3c6z5stP3790se5bA0DiqzD4736URvb2bK6Xdt3XkHy8uxKt1e9IuB6ONEiVv0qTRq1Kg9e/bYDmjdDdsBYwbTacdsz2JlLo9FvLq6+otf/OKlS5cefPBB6URtn0WCCm6D5fEVUvSLM1mwbub0q+srnT1Wlz/oo3DaTI5Oj5/BkrI3ZMiQAwcOeBnWZa/iGsdw00037d271+P2tuO7s575ToO4D+4xNfF+BitUkY93UtOvfvUrabbct/cYeSkzcb2D5fKM5DL9xz/+0ez8lJNd2VjORPNNi7feekteK2/fvv3aa68138aO98iRhqa8vFxZaU46YsSIN998M/quv//978OGDVM2W716dd++fc1fi1irtYR91apV7ntikFdxn/3sZ63rY14knYLvcvHswjtYXm56eQdLVj7//PPS/UtJlp/WiMV7LHl5B8slC9GNmvnuy6lTp+I6VqXDOHbsmMvgTlMrrNu4nxQxg+m0Y7ZnsTKXx0RIZKRTXLJkiZwd5gcEk0NwGyx5uWn++lZa7OXLlxvrrSfJ1KlTjY8XyIL1owCf+9znon8bMnv2bLnZ3t5+4sSJBQsWxPwM1oYNG7z8YZHTZnLJlj033sH6wQ9+4HTJXrNmTV5ennmSxxzWaX2841zp/N6K2267zeP2TuO7U0LqNEjMwT2mxmPK3CdNysjHO+msWbPk7JND98UXX8zNzTV/U9DNyD/99NOTJk169913oz+94f18NxZKS0vl2i2XYyla0ncaK5WTPfqxZ8+eXbFixdixY690fv5SLuh//etfZfmVV165+eabjd/0uey/bek6fvy4TG3+FaE8nVdffdXcUlpSmeUvf/nL+U67d+8eOXLkz3/+c5cBr9g1WEeOHJGqvHbtWolMW1vbvn37zL9fu/3227dt29bQ0CAXNNnnsrKyu+++23ZM94ukU/CVeEbzmC+nADrddBo2mkTj5ZdfllDIISShsEYs3mNJtjc/g3XnnXfaPgWXLJjby+W9srJSji7JxT333BPXsfrMM8/IPssa2exf//rX17/+dfd4Wjlt6XJSXPEQTKcdsz2Llbm8HyTy6lFW/uY3v/HyjBJIcJ9Aa2vrwoULjT9AkAXznUbrSWL8gUxmZuZ3vvOd6L9TMBakMkUiEfNmVVVVYWFh//79pWDI9Uh69uihrC8FpLmWztr4Iqtly5a5fA+W7WZyWt51113/10nO4Xfeecf24dYXIi0tLS7DOq2Pd5wrnV8MWF1d7fHpOI3vxDakToO4DB5XajymLISRj3fSzZs3Sz1IS0ubMmXKwYMHY27vMfLSDciLjaFDh8o5KxXLWOn9fDcWpOeT19apqanSHr3++uvGSuVkj47AwIEDpeYZJ+CcOXOMDzwZZB+Mj/y77H8vh2t9fX39o48+KlHq27fvoEGD7rvvvjfeeMOMxu9+97tbbrnFOP1l4fnnn485YC9LhbvS+ZdiMrLslVy4br31VvMbmP785z/LegmjxCE/P//xxx+PvqBFj+l+kXQKvhLPaB7z5fR8nW46DRtNXiRI6vv16ycvOZ599llrxOI9lmSDb33rWxIcCdGPfvQjGdn2KThlwRyntrZWOnjjrwXXr18f17F6+fJleS433nhjSkqK9OXmSeoUTyunLa0nRfS9MYPptGO2Z7Eyl/eDRII5fPjwTz/91MszSiAJ/wQAAC6SoFD1mH/+85/Sql7tvbjKLl26ZP5FS8+YMWPGCy+80JMz9gxOPABIZjRYMS1atOjUqVPHjx+/4447vvvd717t3bnK9u/fb/61oG6XL19+7rnnRo0aZX5TQzLhxEN3WX97FcALekLsZLyS8knBdxwVMT3zzDNDhw4dPHjwY489lkxfE9A1n/nMZ9avX98zc8nBOWzYMGnpema6HsaJBwAA4DMaLAAAAJ/RYAEAAPiMBgsAAMBnNFgAAAA+o8ECAADwWVgaLNs/aAcAAH652qU+WMISDhIPAIA+1FlFWMJB4gEA0Ic6qwhLOEg8AAD6UGcVYQkHiQcAQB/qrCIs4SDxAADoQ51VJHM4+OsGAAB6BnVWEZZwkHgAAPShzirCEg4SDwCAPtRZRVjCQeIBANCHOqsISzhIPAAA+lBnFcEKR2NjY25urlOSOjo6li5dGolEMjMzy8vL5ab3kUk8AAD6UGcVwQrH/PnzV61a5ZSkjRs3jh49+r1OsrBp0ybvI5N4AAD0oc4qAhSOurq6goKC1tZWpySNGzeupqbGWJaFoqIi74OTeAAA9KHOKgIUjmnTpm3ZsuWKc5IyMjIaGxuN5TNnzkQiEe+Dk3gAAPShziqCEo5du3aNGTPG+FiVU5J69+7d3t5uLMtCnz59lA16udK6/wAAhBl1VhGUcIwaNWrPnj3GMu9gAQCQWKiziqCEw8sbTnwGCwCAYKLOKoIYDiVJ5s0NGzbwV4QAAAQQdVYRxHA4NVgdHR1LliyJdFq2bBnfgwUAQEBQZxVhCQeJBwBAH+qsIizhIPEAAOhDnVWEJRwkHgAAfaizirCEg8QDAKAPdVaRzOHgi0YBAOgZ1FlFWMJB4gEA0Ic6qwhLOEg8AAD6UGcVYQkHiQcAQB/qrCIs4SDxAADoQ51VhCUcJB4AAH2os4qwhIPEAwCgD3VWEZZwkHgAAPShzirCEg4SDwCAPtRZRTKHgy8aBQCgZ1BnFWEJB4kHAEAf6qwiLOEg8QAA6EOdVYQlHCQeAAB9qLOKsISDxAMAoA91VhGWcJB4AAD0oc4qwhIOEg8AgD7UWUVYwkHiAQDQhzqrCEs4SDwAAPpQZxXJHA6+aBQAgJ5BnVWEJRwkHgAAfaizirCEg8QDAKAPdVYRlnCQeAAA9KHOKsISDhIPAIA+1FlFWMJB4gEA0Ic6qwhLOEg8AAD6UGcVYQkHiQcAQB/qrCIs4SDxAADoQ51VJHM4+KJRAAB6BnVWEZZwkHgAAPShzirCEg4SDwCAPtRZRVjCQeIBANCHOqsISzhIPAAA+lBnFWEJB4kHAEAf6qwiKOHYsWPHxIkTU1JScnJy5s6d29DQYN2mO38VSOIBANCHOqsISjiKi4u3b9/e1NTU3NxcWVlZUlJi3aY7ySPxAADoQ51VBDEcLS0taWlp1vU0WAAABBN1VhG4cFy4cGH16tXTp0+33iXJy8rKkt5r5MiR69atu3TpkvdhSTwAAPpQZxXBCofx4arBgwcfPXrUaZu2trb9+/cXFRUtWrTI9uFONO87AADhRZ1VBC4c58+fX7ly5YQJE9w3q6+vj0Qi3ocl8QAA6EOdVQQxHNJjpaenu29z8uTJ7Oxs72OSeAAA9KHOKoISjtmzZ9fV1bW3t584cWLBggXRn8Eyc1ZaWlpbW3vx4kXZcvLkyQsXLvQ+PokHAEAf6qwiKOGoqqoqLCzs379/bm5uWVnZuXPnzLvMnBnbpKSkFBQUVFRUtLa2eh+fxAMAoA91VhGWcJB4AAD0oc4qwhIOEg8AgD7UWUVYwkHiAQDQhzqrCEs4SDwAAPpQZxXJHA6+aBQAgJ5BnVWEJRwkHgAAfaizirCEg8QDAKAPdVYRlnCQeAAA9KHOKsISDhIPAIA+1FlFWMJB4gEA0Ic6qwhLOEg8AAD6UGcVYQkHiQcAQB/qrCIs4SDxAADoQ51VJHM4+KJRAAB6BnVWEZZwkHgAAPShzirCEg4SDwCAPtRZRVjCQeIBANCHOqvwPxytra3Lly8vKChITU2Vn0899VRbW5vvs8SLxAMAoA91VuF/OBYuXFhSUlJbWyudlvwsLi5+4oknfJ8lXiQeAAB9qLMK/8ORnZ198uRJ86YsyxrfZ4kXiQcAQB/qrIIGCwAAdBd1VqHlV4STJ09+++23W1tb5acs8ytCAACSG3VWoeVD7hUVFddff31qaqr8XLFixdX6kDtfNAoAQM+gzirCEg4SDwCAPtRZRVjCQeIBANCHOqvwPxy1tbVFRUUDBgwI1K/ngrAPAAAkK+qswv9wjB07trKy8uOPP/Z95O4g8QAA6EOdVfgfjtTU1AsXLvg+bDeReAAA9KHOKvwPx3XXXXfs2DHfh+0mEg8AgD7UWYX/4Vi/fv3MmTNPnTrl+8jdQeIBANCHOqvwJxy9YvFllm7u4dXeBQAAkhZ1VpHM4QhakwcAQLKizir8D8c111zj+5jdR+IBANCHOqvwPxzXXnvtf//7X9+H7SYSDwCAPtRZhf/hWLt27f3333/8+PGOjg7fB+8yEg8AgD7UWYX/4eBD7gAAhA11VhGUcOzYsWPixIkpKSk5OTlz585taGiwbtPR0bF06dJIJJKZmVleXh7XO2QkHgAAfaiziqCEo7i4ePv27U1NTc3NzZWVlSUlJdZtNm7cOHr06Pc6ycKmTZu8j0/iAQDQhzqrCGI4Wlpa0tLSrOvHjRtXU1NjLMtCUVGR9zFJPAAA+lBnFYELx4ULF1avXj19+nTrXRkZGY2NjcbymTNnIpGI92FJPAAA+lBnFcEKh/GJ+MGDBx89etR6b+/evdvb241lWejTp4/twwP7bfIAACQr6qwicOE4f/78ypUrJ0yYYL2Ld7AAAAgm6qwiiOGQHis9Pd26ns9gAQAQTNRZRVDCMXv27Lq6uvb29hMnTixYsCD6M1hmzjZs2MBfEQIAEEDUWUVQwlFVVVVYWNi/f//c3NyysrJz586Zd5k56+joWLJkSaTTsmXL+B4sAAACgjqrCEs4SDwAAPpQZxVhCQeJBwBAH+qsIizhIPEAAOhDnVWEJRwkHgAAfaizimQOB180CgBAz6DOKsISDhIPAIA+1FlFWMJB4gEA0Ic6qwhLOEg8AAD6UGcVYQkHiQcAQB/qrCIs4SDxAADoQ51VhCUcJB4AAH2os4qwhIPEAwCgD3VWEZZwkHgAAPShziqSORx80SgAAD2DOqsISzhIPAAA+lBnFWEJB4kHAEAf6qwiLOEg8QAA6EOdVYQlHCQeAAB9qLOKsISDxAMAoA91VhGWcJB4AAD0oc4qwhIOEg8AgD7UWUVYwkHiAQDQhzqrCEs4SDwAAPpQZxXJHA6+yR0AgJ5BnVWEJRwkHgAAfaizirCEg8QDAKAPdVYRlnCQeAAA9KHOKsISDhIPAIA+1FlFWMJB4gEA0Ic6qwhLOEg8AAD6UGcVYQkHiQcAQB/qrCIs4SDxAADoQ51VJHM4+KJRAAB6BnVWEZZwkHgAAPShzirCEg4SDwCAPtRZRVjCQeIBANCHOqsISzhIPAAA+lBnFUEJx86dO0tKSlJTU3NycubNm3f27FnrNt350DqJBwBAH+qsIijhmDJlSk1NTUtLy+nTp8vKyqZPn27dpjvJI/EAAOhDnVUEMRzNzc3p6enW9TRYAAAEE3VWEcRwVFdXT5o0ybpekpeVlZWWljZy5Mh169ZdunTJ+5gkHgAAfaizisCF4+DBg/n5+YcPH3baoK2tbf/+/UVFRYsWLVLu6uVK844DABBe1FlFsMKxe/fuvLy8ffv2xdyyvr4+Eol4H5nEAwCgD3VWEaBwbN26dciQIQcOHPCy8cmTJ7Ozs70PTuIBANCHOqsISjjWrFmTl5d36NAh611mzkpLS2tray9evFhXVzd58uSFCxd6H5/EAwCgD3VWEZRwWD8y1dLSYt5lLFRVVRUWFqakpBQUFFRUVLS2tsY1vv87DQAAOlFnFWEJB4kHAEAf6qwiLOEg8QAA6EOdVYQlHCQeAAB9qLOKsISDxAMAoA91VpHM4eCLRgEA6BnUWUVYwkHiAQDQhzqrCEs4SDwAAPpQZxVhCQeJBwBAH+qsIizhIPEAAOhDnVWEJRwkHgAAfaizirCEg8QDAKAPdVYRlnCQeAAA9KHOKsISDhIPAIA+1FlFMoeDLxoFAKBnUGcVYQkHiQcAQB/qrCIs4SDxAADoQ51VhCUcJB4AAH2os4qwhIPEAwCgD3VWEZZwkHgAAPShzirCEg4SDwCAPtRZRVjCQeIBANCHOqsISzhIPAAA+lBnFckcDr5oFACAnkGdVYQlHCQeAAB9qLOKsISDxAMAoA91VhGWcJB4AAD0oc4qwhIOEg8AgD7UWUVYwtELAADodLVLfbAQjth64KDpmeMyOZ4IUzAFU1yVKXpmFqYI1RTJjfDFljTHcXI8EaZgCqa4KlP0zCxMEaopkhvhiy1pjuPkeCJMwRRMcVWm6JlZmCJUUyQ3whdb0hzHyfFEmIIpmOKqTNEzszBFqKZIboQvRDhbgoNcBAe5CBTSERzkopsIX4hwtgQHuQgOchEopCM4yEU3Eb4Q4WwJDnIRHOQiUEhHcJCLbiJ8IcLZEhzkIjjIRaCQjuAgF91E+EKEsyU4yEVwkItAIR3BQS66ifABAAD4jAYLAADAZzRYAAAAPqPBAgAA8BkNFgAAgM9osAAAAHxGgwUAAOAzGqwE1uv/i165Y8eOiRMnpqSk5OTkzJ07t6GhwfrAjo6OpUuXRiKRzMzM8vJyuem+HjHZ5sLQ2NiYm5vr9I0y5MJ3trno9b9sH0gudHCK+VtvvTV16tT09PQhQ4Zs3rzZ+kDS4Tsvp0ZGRob1geSia2iwEp5ythQXF2/fvr2pqam5ubmysrKkpMT6kI0bN44ePfq9TrKwadMm9/XwyLZyz58/f9WqVU5FnVxoYq0iMR9CLvRR4n/48GF51fH73//+ww8/rK+vf/DBB60PIR2auJwLa9euXbx4sXU9uegaGqyE53K2tLS0pKWlWbccN25cTU2NsSwLRUVF7uvhkTUXdXV1BQUFra2tTvWeXGjivcEiFz1Aib90VL/85S/dtyQdmjidCxcvXszPz3///fetW5KLrqHBSnhOZ8uFCxdWr149ffp065YZGRmNjY3G8pkzZyKRiPt6eGTNxbRp07Zs2WK9i1zoZg14VlaWvN4YOXLkunXrLl26ZN2SXOijpCM7O3vFihU5OTkDBw6cM2dOU1OTdUvSoYlTydi0adMjjzxiuyW56BoarIRne7YYv00fPHjw0aNHrff27t27vb3dWJaFPn36uK+HR0oudu3aNWbMGONzCU4XNXKhiW3A29ra9u/fL6+zFy1aZL2XXOijpENi+NBDD53uVFpa+vDDD1sfQjo0sT01Ll++fMMNN9TV1dk+hFx0DQ1WwnOq3OfPn1+5cuWECROsd/FyRBMlF6NGjdqzZ4/tXSZyoYnL7wTr6+tt40ku9FHSISGVSBrL0mNlZWVZH0I6NLE9NbZu3Tpjxgynh5CLrqHBSnguhUR6rPT0dOt6fqGuifuf59hmilxo4nJenDx5Mjs727qeXOijpGP8+PHSVxnLDQ0Ntg0W6dDE9tS46aab9u7d6/QQctE1NFgJTzlbZs+eXVdX197efuLEiQULFth+BmvDhg22f/rhtB4eefkktXKTXGiiBLy0tLS2tvbixYtydkyePHnhwoXWLcmFPko6Nm/ePGvWLPNXhNEf/SEdulkvUzt27LjttttctiQXXUODlcBs3x2pqqoqLCzs379/bm5uWVnZuXPnorc3Fjo6OpYsWRLptGzZsugvNbFdj5hivlPl1GCRC9+5nBcpKSkFBQUVFRWtra3R2xsL5EIHp1PjqaeeysrKyszMlNeEth9yJx2+c8rF+PHjq6urbbc3FshF19BgAQAA+IwGCwAAwGc0WAAAAD6jwQIAAPAZDVai2rlzZ0lJSWpqak5Ozrx5886ePWusj/e/cjqNo3B6uPKpSdt/FNr92QEASCw0WIlqypQpNTU1LS0tp0+fLisrM7+OId7/yuk0jsLLP/V0+keh3Z8dAIDEQoOVDJqbm80vFO3ON8JFj6OI+XDrPwqN6+HuswMAkFhosJJBdXX1pEmTjOXu/E+D6HEUMR9u/UehcT3cfXYAABILDVbCO3jwYH5+/uHDh42bXf6vnMo4CveHu/+j0O7PDgBAYqHBSmy7d+/Oy8vbt2+fuaZr72BZx1G+7df94dZ/FBrXw62zAwCQ0GiwEpi0NUOGDDlw4ED0yi58Bst2HIX7h6jc/1Fo92cHACCx0GAlqjVr1uTl5R06dEhZH+9/5XQax+OwV5z/UaiXh3ucHQCAxEKDlah6WbS0tFyJ/79yOo2jcPmnnk7/KNTLwz3ODgBAYqHBAgAA8BkNFgAAgM9osAAAAHxGgwUAAOAzGiwAAACf0WABAAD4jAYLAADAZzRYAAAAPqPBAgAA8BkNFgAAgM9osAAAAHxGgwUAAOAzGiwAAACf0WABAAD4jAYLAADAZzRYAAAAPqPBAgAA8BkNFgAAgM9osAAAAHxGgwUAAOAzGiwAAACf0WABAAD4jAYLAADAZzRYAAAAPqPBAgAA8BkNFgAAgM/+H7bFTeG6KCW2AAAAAElFTkSuQmCC)
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