Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit382-02-20021219_154100_20021219_202600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/19 |
Start Time | | 2002/12/19 15:41 |
End Time | | 2002/12/19 20:24 |
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 | | 14.25 |
Dipole Tilt, in Y-Z GSE plane, deg | | -3.99 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 186.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit382-02-20021219_154100_20021219_202600-constBx0 |
Minimum Dst Value | | -71 |
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-9 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAV2VkIEphbiAwOSAxNzoyNDoyMyBFU1QgMjAxOaG2h/sAAAHLdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzODItMDMtMjAwMjEyMTlfMjAyNzAwXzIwMDIxMjIwXzAxMTIwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdPRVMtOSB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0xMi0xOVQyMDoyNzowMC4wMDBaIiwgIm1heCI6IjIwMDItMTItMjBUMDE6MTA6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MDksICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjoxLjA0MTYyNDk5OTUsICJtYXgiOjYuMjM1Mjc1MDAwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfZHmgtYAAAAEZ0FNQQAAr8g3BYrpAAAfsUlEQVR4nO3de/AVZf04cLzyEcofKEIoIEiUNkrpaKMJKCheMq81hiniJaO8jFZeQyW6SDXhmFNeMmqcSUVskNHQpimtyUxGY0wSQjMBK/CKiIqiwu8ZznzPnJ5zzn7OOeyu53P29fqD2bNnd59n3+/dfT97zn44vTYBAJCqXu93BwAAOo0BFgBAygywAABSZoAFAJAyAywAgJQZYAEApMwACwAgZQZYAAApM8ACAEiZARYAQMoMsAAAUmaABQCQMgMsAICUGWABAKTMAAsAIGUGWAAAKTPAAgBImQEWAEDKDLAAAFJmgAUAkDIDLACAlBlgAQCkzAALACBlBlgAACkzwAIASJkBFgBAygywAABSZoAFAJAyAywAgJQZYAEApKyjBli9enXU7gDkI4uL58MPPzxq1Khut5xF02oB7aCjjsJ6J5WTDSBBFhfJMWPGzJs3731p2jW/BYKWuo4KaLO3SgsWLBg3blzv3r0HDx48ZcqU1atXl+Y/88wzn/nMZ/ptFibCy9L8+++/f8KECV1dXWH5s88++6WXXqrZysaNGy+99NKwbv/+/S+//PLwMrm5SL1W6m223vyE3vb6P420W2/5NWvWnH766TvttNOAAQOmT59eJ+Qt7lS95Xv9rx133LG14PSIyDfbn5oSFq7ZmWY7mUrksxD1v7xTW2211aBBgyZNmvTcc88lrN5C/1etWnXuuecOHz58u+22C2sdddRR4ZSv2ZloZpj42Mc+VtlEmN5rr70qFyi/tXTp0pNOOimcd9tvv/3+++9/1113lea/+uqroZ+jRo3aYYcdQuvHH3/87373u277XN2ZlheoFk7Pt956a8ubbkHWY4WEXAeLFy8++uijP7BZmHjiiScqOxYpzW88fY1cePMcKhmWJeio0DR7jRg/fny4wQrH62uvvTZjxoxQP0rzDzrooGnTpq3Z7IorrggvS/MnTpx43333rVu37vnnn586deoxxxxTs5Wbbrppv/32+9dmYeKWW25Jbi5Sr5V6m603v9veRtFodvkzzjgjVKnVm5188sk///nPa+5OazvVSKivvfbaiy++uLXgpNLJrCPfbH9q6nbhBj/3TSs4uakeYJUm3nvvvf/85z9f//rXx4wZk7B6s/3/97//vfvuu4fNLlmy5M033wwD0HvvvffII4+s2ZloZpgIQ6V77rmn/Nbdd98d5lQPsJ566qkwOvzhD3+4YsWKMHZ55JFHPvvZz5beCm2dc845YYG33377hRdeuPPOOw855JDkPtfsTMsLtLxKjxtgJef66aef3mWXXWbNmrVqs3CZCi/DzOSONZ6+Ri68BlhtomeEJlxKLrzwwkGbhYnyXVFIbTh8hwwZEu5KSy+///3vDxw4MIzuzzvvvHCklhfb9L+3DtVNhMrRp0+f0nSYCGOg0vTatWvL8yuFBfr27Vuzt2FAFkpRaTpMHHzwwcnNJahspd5mG2muZm8TToxGlt95551DrS1Nh1M9uVzV23jLnQ/JHTFiRLjSJW+nke233MncIt9gf2rqduEGB1jNdqbBTr7zzjtXXXXVsGHD+vXrF8YNpZkJ5/uNN94YaltXV9eBBx64ePHi0vxwr7/vvvuGmeGt0kio+mSPdufVV1/dYYcdwsSXv/zlyhI1e/bsMCe5/zUjc9ZZZ4WbsXoR63aANXfu3Momwt7ddddd1Z3/whe+8J3vfKdmE2F3wk7V60BlowkXyU11gp988Wx2lerrds201jsMKi1btiwMMcO+7LjjjieeeOKLL77YyO4kNxoOgLDBsHwIVAu5PvXUU6MPlq6++urTTjst6likwfRtauDCW/Pgrwx4t0ELNyHf/va3hw8f3r9//zPPPPP1118vza8+W6vbaqRYjx079o477ih3ONwtDB48uMHd71l6xgArJPXwww9/brPx48eH47U0P+Ts+OOPD/ej5ZdhsX9vFia++c1vludHE5FwAM2cObN8U/65z30uNBHyvWbNmiuvvDK8rF5l/vz5hx56aM2thaO2fMiGe5FwLCY3l6CylXqb7ba5er1NqKCNLB/O89BcaTqc8DXb7XbjLXc+1NFw5pdfbklwWu5kbpFvsD81dbtwCwOstIIThOFC2NQ///nPV1555aKLLirNTDjfTzjhhGeffTacQTNmzCiPSMLV+Ve/+lW4lIcr9dlnn12z/5XFY9WqVZdddlnpE4Iwwhg3btydd94ZpufMmROmN2zYkNz/mpEJfQh1q17Euh1ghV6NGjXqz3/+c3j54IMPhukwp/rCFYpW+YmFyNFHH33yySc/9NBDb775Zr1ubGrgIpkQ/HrbbHaV6ut2zbTW22yl0aNHP/DAA2GXw+X6/PPP/+IXv9j47tRsNFzwQyT/s9kRRxzRQq5DjsLxXDknvPzQhz6UHJMG07epsQtv9cFfGfBugzZr1qzDDjvsX//6Vzgrw9Dwa1/7Wml+zbM1aquRYv2b3/xmr732Ckd46a1wzn7ve99L3useqmcMsPbYY48nn3yyNB1uNUaOHFmaDjlbvnx5ebHwsrzY3//+98rFoolKpdF3uKUrf4pb+gS4ND9MlI/LskWLFo0YMaLeObb11luXrtFBmNhmm22Sm6snaqXeZpObS+htvVO9weUnT54c7tWe3yzcWG+77bbJu9PUTiV3JpyZH/nIR5YsWVKe03JwtqSTuUW+2aBV6nbhZgdYaQWn5MMf/nD5w4OyhPM9jI1K02+88UbpI6hg6NCh119//cqVKxP63+t/hVvzcIkovbV69eqwR5dffnn4t/xkZLNHTjj+K0tj9UcI1atE7958883HHXfcps3fFv30pz+tXqDUyvr162t2YO3ataG2ffzjH+/q6goBvPjii2t+JNDtRTIh+PX2vdlVqq/bNdNab7P1hAgMGTKk8d2p1+jSpUtL02HFmruQnOtwqEQ5CguXL4+9qpQ730j6NjV24a0++CsDXqlm0Pbcc89//OMfpelwRoQiWJquebZGbTVYrA844IDbbrtt0+ZvvUMHQgpqdq+n6xkDrHDMlQ/ZMBFelqZDzqKHdustFk1EwkE2ffr0sWPHll6GAfgVV1xRfgYrvKxcONxfDhs2bOHChZXtVp4q3d67R81Fq9drpbWPCqq3U9nt6pmNL//yyy+H0zsUqnDH9t3vfrd8i5ag8Z1K7sycOXOOPfbYyjkpfoLVbpFvNmiRdD/B2vLgREd75aldlnC+1+zhX//61xNOOCHc2Y8aNar8vV69hUv9mTZtWuVDkOE+OyxQ/o4yof/1hOM/YSS93XbbRd9whf0KY7jKxcICgwcPvv3228O/5W/Zou0kfIJVFi6JYeQ0ZcqUmp+Rd3uRbDD4lZpdpfq6Hb2bvNlKjz76aMhjuAqVDqryOLjZ3alcvpypsHzNXUjOdbh5buETrLLq9EWnTCMX3uq9qwx4t0ELw83KIWD5QK15tkZtNVis58+f/9GPfvTdd9895ZRTwt1Rckx6rp4xwGrwDqny5ixMVC9W+ga6pjDoKT9WEg6ves9ghdK+6667PvbYYwm9beTpk8rmqtVspYWHXZJ7W32qN7t82U9+8pNwztd7N2HjrXX+E5/4xEMPPdTIdpp9BqvdIt9s0Kql+AxWWsGpFIZETX2CldDDcPn+9a9/Xa430ckeLRxO8PKHFo8//ni4h543b95uu+1W/ly52SMnVMTLL788mlludK+99nrkkUcq3/rLX/4yfPjwaLGZM2duu+225a9LqgdY4Sy75pprkntSEm4OP/jBD1bP7/YiWS/4CRfPFj7BauRlI59ghZm33nprGHOEUh3+rY5Ys8dSI59gJec6jBiqn8E69dRTa7ZbT730RepdeJMP/m6DFoY+zz77bPVma56tUVsNBjycrfvss88ll1wSzoLyg4Cdp2cMsMLtZvlr3TD0vvLKK0vzq0+SI444ovR4QZiofhRgl112qfxeafLkyeHlhg0bVq5cef7555fvGMK1NTRR+gTrG9/4RvnaOmvWrHD7Xj796rnxxhtr/v1RveYi9Vqpt9l687vtbRS9ZpcPl4yQjhCiO+64Y+jQoeWPlFPZqYTOLFiw4FOf+lSD26k3P5VOZh35ZvtTU7cLN1gF0wpOJNyCH3rooc8880zlUx2Nn++liUmTJoVrerhMhwFWGAKWZkYne+W6L7300lVXXXXggQdu2vxAZLjQ//GPfwzT99xzz7777lv69ieh/zUjtnz58tB0+S/Lwu7ce++95SVDIQyt/OEPf1i72YMPPrj33nv/4Ac/SNjgploDrKeeeiqMIK+99toQmbfeemvhwoXlvyI85JBD7rzzztWrV4crTOjz1KlTjz766JrbTL5I1gt+FM9KDearXgDrvay32UohGnfffXcIRTiEQiiqI9bssRSWLz+DdeSRR7aQ63AlHDBgQMhR+a8Iw8vyJ171YtJg+jY1duFNOPgbCdp1110Xgha2EM6pJ5544vOf/3xpfs2zNWqr8YMh3LCFmT/72c8qZzY4AO0pesbOrF+//oILLij9YUKYKH8CWX2SlP5Apn///l/5ylcq/36hNBGKRL9+/cov586dO3r06O233z4cpuGADmP50vxwFTvqqKP+32bhKC9/3turyrp166p7G8bmYWBe+m+0LrvssvLnovWai9Rrpd5m681P6G00v7XlZ8+eHa4yffr0mThx4qJFi5Iz2OxOJXRmzJgx8+fPbzDm9eb3iMg325+aEhau2ZlmO7mFkQ/lJNzDDBkyJJyzoRSVZjZ+vpcmQqUJ99xdXV1hePTAAw+UZkYne2XPd9ppp+OOO650Xp9++umlB55KQh9KfzyRHLea+7JixYqzzjornBTbbrvtzjvvfOKJJz788MPlaPziF7/Yf//9S1eVMHHrrbd2u8FeVZUvCMUsbDn0KlxJDjjggPL/g/X73/8+zA9hDHEYMWLEeeedV/MK06u7i2S94EfxrNRgvurtb72X9TZbKdxuhdRvt912YfR//fXXV0es2WMpLPClL30pBCeE6Fvf+lbYcs1dSMh18Le//S1UkL6bhVHa448/XtlQzfOrwfRtauzCW33wNxW09957L8zfc889e/fuHW4Mytfbmmdr1FbjB0M4dEeNGvXOO+9Uzqx3zPRQHbUzACTosAKWqTBOCmOd97sXOXn33Xcb/EOltBx77LG33357ni3mz8kGUBQGWN266KKLVq1atXz58sMOO+yrX/3q+92dnDz66KPlvxbM2nvvvXfzzTfvs88+5f+poVM52UhT9QfgbXhB7xGdbFZH7hSpc1R067rrrhsyZMjAgQPPOeecTv3vA6p94AMfuOGGG/JpKxyEw4cPD0O6fJp7HznZAABSZoAFAJAyAywAgJQZYAEApMwACwAgZQZYAAApK8oAq+YfsQMAaXm/S317KUo4JB4AsqPORjo5HEbWAJAPdTZSlHBIPABkR52NFCUcEg8A2VFnIz0gHI8//vgRRxzRt2/fXXfddfbs2Y2v6CtCAMiHOhtp93AsW7Zs6NChv/zlL1955ZUVK1accsoprW1H4gEgO+pspN3DEUZUP/7xj7d8OxIPANlRZyPtHo5BgwZdddVVgwcP3mmnnU4//fQ1a9a0th2JB4DsqLORdg/HNttsc9pppz2/2aRJk84444yEhf0HaADwvlBnI+0ejh133PGFF14oTYcx1oABA1rbjsQDQHbU2Ui7h2PMmDFhXFWaXr16tQEWALQhdTbS7uGYPXv2qaeeWv6K8Mwzzyy/1W0ufUUIAPlQZyM9IBxXX331gAED+vfvP3ny5MqH3JvKpcQDQHbU2UhRwiHxAJAddTZSlHBIPABkR52NdHI4PIMFAPlQZyNFCYfEA0B21NlIUcIh8QCQHXU20snh8BUhAORDnY0UJRwSDwDZUWcjRQmHxANAdtTZSFHCIfEAkB11NtLJ4fAMFgDkQ52NFCUcEg8A2VFnI0UJh8QDQHbU2Ugnh8NXhACQD3U2UpRwSDwAZEedjRQlHBIPANlRZyNFCYfEA0B21NlIJ4fDM1gAkA91NlKUcEg8AGRHnY0UJRwSDwDZUWcjnRwOXxECQD7U2UhRwiHxAJAddTZSlHBIPABkR52NFCUcEg8A2VFnI50cDs9gAUA+1NlIUcIh8QCQHXU2UpRwSDwAZEedjbR7ONL6mk/iASA76myk3cOxhYMqz2ABQA7U2Ui7hyOthEk8AGRHnY20ezhCwgYMGNCnT5+99977Rz/60bvvvtvydtLtGABQps5GekY43nrrrUcfffTggw++6KKLEhbrlSi33gJA0aizkZ4UjhUrVvTr16+1dSUeALKjzkZ6Ujiee+65QYMGtbauxANAdtTZSLuHY9KkSYsXL3777beXLFly+OGHX3DBBeW3msqlxANAdtTZSLuHY+7cuaNHj+7du/fIkSOnTZu2fv368lvd5tIzWACQD3U2UpRwSDwAZEedjRQlHBIPANlRZyOdHA5fEQJAPtTZSFHCIfEAkB11NlKUcEg8AGRHnY0UJRwSDwDZUWcjnRwOz2ABQD7U2UhRwiHxAJAddTZSlHBIPABkR52NdHI4fEUIAPlQZyNFCYfEA0B21NlIUcIh8QCQHXU2UpRwSDwAZEedjXRyODyDBQD5UGcjRQmHxANAdtTZSFHCIfEAkB11NtLJ4fAVIQDkQ52NFCUcEg8A2VFnI0UJh8QDQHbU2UhRwiHxAJAddTbSyeHwDBYA5EOdjRQlHBIPANlRZyNFCYfEA0B21NlIJ4fDV4QAkA91NlKUcEg8AGRHnY0UJRwSDwDZUWcjPSMcL7744tChQ7ckeRIPANlRZyM9IxznnnvuNddc02zyPIMFAPlQZyM9IBxLliwZOXLk+vXrfYIFAO1JnY30gHB8+tOfvu222zZtWfIkHgCyo85G2j0cv/3tbz/5yU9u3LhxUwPJ65Uol/4CQBGps5F2D8c+++zzpz/9qTTtEywAaE/qbKTdw5HWB1ESDwDZUWcjPSkcUfKayqXEA0B21NlIfuFYv379lVdeOXLkyK6urvDv1Vdf/dZbbzW1hWYHWJ7BAoB8qLOR/MJxwQUXTJgwYfHixWGkFf4dP378hRdemFvrEg8A2VFnI/mFY9CgQc8991z5ZZgOc3JrXeIBIDvqbKSTB1i+IgSAfKizkVy/Ijz88MOffPLJ9evXh3/DtK8IAaAzqLORXB9ynzZt2h577NHV1RX+veqqq5p9yH1LSDwAZEedjRQlHBIPANlRZyOdHA7PYAFAPtTZSH7hWLx48cEHH7zDDju8L4MeiQeA7KizkfzCceCBB86YMeONN97IrcVKEg8A2VFnI/mFo6ur6/XXX8+tuU2+IgSAvKizkfzCsfvuuz/77LO5NReReADIjjobyS8cN9xwwwknnLBq1arcWqwk8QCQHXU2km04enUn09ajnuTWFgAUjTob6eRweAYLAPKhzkbyC8dWW22VW1vVJB4AsqPORvILx2677fbf//43t+YiEg8A2VFnI/mF49prrz3ppJOWL1++cePGfFr0FSEA5EOdjeT6mLmH3AGgI6mzkaKEQ+IBIDvqbKQo4ZB4AMiOOhvp5HB4BgsA8qHORooSDokHgOyos5GihEPiASA76mykk8PhK0IAyIc6GylKOCQeALKjzkaKEg6JB4DsqLORdg/HggULxo0b17t378GDB0+ZMmX16tWtbUfiASA76myk3cMxfvz4efPmrVmz5rXXXpsxY8aECRMaX9czWACQD3U20pPCsW7duj59+rS2rsQDQHbU2UiPCcfrr78+c+bMY445prXVJR4AsqPORnpGOErf8Q0cOPDpp5/udrF6custABSNOhvpMeFYu3bt9OnTx44d29rqEg8A2VFnIz0pHGGM1bdv39bWlXgAyI46G2n3cEyePHnJkiUbNmxYuXLl+eefX/kMVlO5lHgAyI46G2n3cMydO3f06NHbb7/90KFDp06d+vLLL5ff6jaXnsECgHyos5GihEPiASA76mykKOGQeADIjjobKUo4JB4AsqPORjo5HJ7BAoB8qLORooRD4gEgO+pspCjhkHgAyI46G+nkcPiKEADyoc5GihIOiQeA7KizkaKEQ+IBIDvqbKQo4ZB4AMiOOhvp5HB4BgsA8qHORooSDokHgOyos5GihEPiASA76mykk8PhK0IAyIc6GylKOCQeALKjzkaKEg6JB4DsqLORooRD4gEgO+pspJPD4RksAMiHOhspSjgkHgCyo85GihIOiQeA7KizkU4Oh68IASAf6mykKOGQeADIjjobKUo4JB4AsqPORooSDokHgOyos5FODodnsAAgH+pspCjhkHgAyI46GylKOCQeALKjzkbaPRz333//hAkTurq6Bg8efPbZZ7/00kuNr+srQgDIhzobafdwTJw48b777lu3bt3zzz8/derUY445prXtSDwAZEedjfSkcLz22mt9+/ZtbV2JB4DsqLORnhSO+fPnH3rooa2tK/EAkB11NtJjwrFo0aIRI0YsW7YsYZleiXLrKgAUjTob6RnhePDBB4cNG7Zw4cKWtyDxAJAddTbSA8IxZ86cXXfd9bHHHtuSjUg8AGRHnY20ezhmzZo1bNiwpUuXVr/VbS59RQgA+VBnI+0ejupHqdatW1d+q6ntZNNBAECdjRUlHBIPANlRZyNFCYfEA0B21NlIJ4fDM1gAkA91NlKUcEg8AGRHnY0UJRwSDwDZUWcjnRwOXxECQD7U2UhRwiHxAJAddTZSlHBIPABkR52NFCUcEg8A2VFnI50cDs9gAUA+1NlIUcIh8QCQHXU2UpRwSDwAZEedjXRyOHxFCAD5UGcjRQmHxANAdtTZSFHCIfEAkB11NlKUcEg8AGRHnY10cjg8gwUA+VBnI0UJh8QDQHbU2UhRwiHxAJAddTbSyeHwFSEA5EOdjRQlHBIPANlRZyNFCYfEA0B21NlIUcIh8QCQHXU20snh8AwWAORDnY0UJRwSDwDZUWcjRQmHxANAdtTZSCeHw1eEAJAPdTZSlHBIPABkR52NFCUcEg8A2VFnI0UJRy8AIEvvd6lvL4UORz5HQw6t2JG2aiKfVuxIu7ViR9qqiXxasSMkKHRMnRvt1kpnNJFPK3ak3VqxI23VRD6t2BESFDqmzo12a6UzmsinFTvSbq3YkbZqIp9W7AgJCh1T50a7tdIZTeTTih1pt1bsSFs1kU8rdoQEYtoJnBvtRkbajYy0FeloNzKSBTHtBM6NdiMj7UZG2op0tBsZyYKYdgLnRruRkXYjI21FOtqNjGRBTDuBc6PdyEi7kZG2Ih3tRkayIKadwLnRbmSk3chIW5GOdiMjWRBTAICUGWABAKTMAAsAIGUGWAAAKTPAAgBImQEWAEDKDLAAAFJmgNV27r///gkTJnR1dQ0ePPjss89+6aWXym/1+j/11t24ceOll17ar1+//v37X3755eFl8nwaUS8jCZkqk5Es1Iv8ggULxo0b17t37zB/ypQpq1evrl5XRlK3JSGVjiwkRE8RyZMBVtuZOHHifffdt27duueff37q1KnHHHNMtEDCuXHTTTftt99+/9osTNxyyy3J82lEvYx0m6lNMpKNepEfP378vHnz1qxZ89prr82YMSMMwqrXlZHUbUlIpSML3UZPEcmHAVZbC3Wib9++0czqc6M856CDDgqFpzQdJg4++ODk+TSrZkaq58tIbuplJAy/+vTpU34pI9lpIaTSkaluo6eI5MMAq63Nnz//0EMPjWYmnBs77rjjiy++WJp+4YUX+vXrlzyfZtXMSPV8GclNzYy8/vrrM2fOrPxMUUay00JIpSNT3UZPEcmHAVb7WrRo0YgRI5YtWxbNT/h0d+utt96wYUNpOkxss802yfNpSr2M1Ju/SUYyVjPypUdMBg4c+PTTT1evIiOp25KQSkcWuo2eIpIPA6w29eCDDw4bNmzhwoXVbyWcG24+slMvIwmZ2iQjWUqI/Nq1a6dPnz527Njqt2QkdVsSUunIQgufYHW7roy0wACrHc2ZM2fXXXd97LHHar6bcG74+jwj9TKSnKlNMpKZbiMfxlg1n82SkdRtSUilIwstPIPV7boy0gIDrLYza9ascF++dOnSegskfH1+44031vxDj3rzaUS9jCRkSkYyVS/ykydPXrJkyYYNG1auXHn++efXfAZLRlLXQkilI1PdRk8RyYcBVtvpVWXdunU136pcpTSxcePGSy65pN9ml112WeV/YVJzPo2ol5HkTJUmZCQL9SI/d+7c0aNHb7/99kOHDp06derLL79cuUppQkZS10JIpSNTyZFXRHJjgAUAkDIDLACAlBlgAQCkzAALACBlBlgAtK7eb283+7PBjfx6ekn1M9qNr95sb6FlBlgAtK7eb283+7PBjfx6eqVogNXg6s32FlpmgAVAOip/e3tL/svKer/hXSnhf8tsZPUGewstM8ACIB2Vv729JT+6Uu9X1SslDLAaWb3B3kLLDLAASEH029st/2xwwq+nV6o3wGpw9QZ7Cy0zwAJgS1X/9nZrn2BVb6fmI+2b6gywGly98d5CywywANgiNX97u4VnsLr9De9K1QOsBldvqrfQMgMsAFpX77e3m/3Z4G5/5z4SDbAaXL3Z3kLLDLAAaF29395u9meDE349PbnFplZvtrfQMgMsAICUGWABAKTMAAsAIGUGWAAAKTPAAgBImQEWAEDKDLAAAFJmgAUAkDIDLACAlBlgAQCkzAALACBlBlgAACkzwAIASJkBFgBAygywAABSZoAFAJAyAywAgJQZYAEApMwACwAgZQZYAAApM8ACAEiZARYAQMoMsAAAUmaABQCQMgMsAICUGWABAKTs/wNQFEmDYGKTLQAAAABJRU5ErkJggg==)
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